Target function enrichment analysis method for intervening plateau encephaledema based on ethnic drugs

Abstract

The invention discloses a target function enrichment analysis method for intervening plateau encephaledema based on ethnic drugs. The method comprises the following steps: acquiring a plateau encephaledema database; the plateau encephaledema database comprises N pieces of plateau encephaledema data information; processing the plateau encephaledema database to obtain plateau encephaledema target spot information; acquiring a ethnic drug database; processing the ethnic drug database to obtain potential target information of ethnic drugs; matching the plateau encephaledema target information with the ethnic drug potential target information to obtain associated target information; processing the associated target spot to obtain a plateau encephaledema network model; processing the plateau encephaledema network model to obtain a key target spot and a signal path; and carrying out experimental verification on the key target spot and the signal path. The invention provides a theoretical basis and a new treatment strategy for prevention and treatment of plateau encephaledema.

Description

Technical Field

[0001] The present invention relates to the technical field of biomedical data processing, and in particular to a target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema. Background Art

[0002] High Altitude Cerebral Edema (HACE) is a serious brain disease caused by the low oxygen environment at high altitudes. It is common in people who climb mountains or enter extremely high altitude areas. The typical pathological characteristics of HACE include cerebral edema, nerve cell damage, and oxidative stress response. Its pathogenesis is complex and is closely related to factors such as hypoxia, blood-brain barrier dysfunction, and increased intracerebral pressure. In the early stages of HACE, patients may experience symptoms such as headache, nausea, vomiting, and ataxia, but if not treated promptly, the condition will rapidly worsen, leading to coma or even death. Therefore, early identification and effective intervention of HACE are crucial to preventing its further development.

[0003] Existing treatments for HACE primarily include oxygen inhalation, pressure chamber therapy, and medication. Oxygen inhalation can improve patients' hypoxia and slow the progression of symptoms. Medication, such as dexamethasone, can reduce cerebral edema, while acetazolamide improves oxygen supply by promoting breathing. However, in some severe or high-risk cases, existing treatments have limited effectiveness and may not be able to completely prevent progression. Therefore, the search for new treatments has become a focus of researchers.

[0004] Ethnic medicines have demonstrated remarkable efficacy in treating a wide range of diseases, particularly in regulating physical fitness and enhancing disease resistance. Many are based on plants, animals, or minerals and contain a wealth of bioactive ingredients that can exert their pharmacological effects through multiple targets and pathways. Studies have shown that some ethnic medicines possess multiple benefits, including antioxidant and anti-inflammatory properties, neuroprotection, and improved blood circulation, all of which are directly linked to the pathological process of HACE. Therefore, in-depth research on the potential of ethnic medicines for HACE intervention and their therapeutic targets will not only expand HACE treatment options but also provide new insights into modern medicine.

[0005] To understand the potential mechanism of action of ethnic medicines in high-altitude cerebral edema, target functional enrichment analysis is of great significance. Target functional enrichment analysis can help reveal the specific mechanism of action of ethnic medicines in the pathological process of HACE by identifying the active ingredients and their related targets. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a target function enrichment analysis method based on ethnic medicine intervention of high altitude cerebral edema. Through the functional enrichment analysis of high altitude cerebral edema-related targets, the mechanism of action of ethnic medicine is revealed, providing a theoretical basis and new treatment strategies for the prevention and treatment of high altitude cerebral edema.

[0007] In order to solve the above technical problems, the present invention discloses a target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema, the method comprising:

[0008] S1, obtaining a high altitude cerebral edema database; the high altitude cerebral edema database includes N high altitude cerebral edema data information;

[0009] S2, processing the high altitude cerebral edema database to obtain high altitude cerebral edema target information;

[0010] S3, access to ethnomedicine database;

[0011] S4, processing the ethnic medicine database to obtain potential target information of ethnic medicines;

[0012] S5, matching the high altitude cerebral edema target information with the potential target information of the ethnic medicine to obtain associated target information;

[0013] S6, processing the associated targets to obtain a high altitude cerebral edema network model;

[0014] S7, processing the high altitude cerebral edema network model to obtain key targets and signal pathways;

[0015] S8, experimentally verify the key targets and signaling pathways.

[0016] As an optional implementation, in an embodiment of the present invention, the processing of the high altitude cerebral edema database to obtain high altitude cerebral edema target information includes:

[0017] S21, extracting knowledge from the high altitude cerebral edema database to obtain first knowledge information; the first knowledge information includes entity information, relationship information, and attribute information;

[0018] S22, performing knowledge fusion on the first knowledge information to obtain second knowledge information;

[0019] S23, performing knowledge representation on the second knowledge information to obtain third knowledge information;

[0020] S24, processing the third knowledge information to obtain a knowledge graph of high altitude cerebral edema;

[0021] S25, searching the high altitude cerebral edema knowledge graph according to the user's needs to obtain high altitude cerebral edema target information.

[0022] As an optional implementation manner, in an embodiment of the present invention, the performing of knowledge extraction on the high altitude cerebral edema database to obtain the first knowledge information includes:

[0023] S211, extracting entities from the high altitude cerebral edema database to obtain entity information;

[0024] S212, performing relationship extraction on the high altitude cerebral edema database to obtain relationship information;

[0025] S213: Extract attributes from the high altitude cerebral edema database to obtain attribute information.

[0026] As an optional implementation, in an embodiment of the present invention, extracting entities from the high altitude cerebral edema database to obtain entity information includes:

[0027] S2111, inserting special tags into the data in the high altitude cerebral edema database to obtain an interpolated text sequence;

[0028] S2112, mapping the interpolated text sequence with a Chinese character vector dictionary pre-trained based on a Bert model to obtain character embedding information of the text data;

[0029] S2113, performing position embedding on the interpolated text sequence to obtain position embedding information of the text data;

[0030] S2114, processing the character embedding information of the text data and the position embedding information of the text data to obtain embedding representation information of the text data;

[0031] S2115, using the Bert pre-trained language model, processing the embedded representation information of the text data to obtain key text representation information;

[0032] S2116, using the text to represent key information, training a preset entity extraction model to obtain an optimized entity extraction model;

[0033] S2117, using the optimized entity extraction model, processing the high altitude cerebral edema data information to be processed to obtain entity information.

[0034] As an optional implementation manner, in an embodiment of the present invention, performing knowledge fusion on the first knowledge information to obtain the second knowledge information includes:

[0035] S221, aligning the entity information to obtain first entity information;

[0036] S222, aligning the relationship information to obtain first relationship information;

[0037] S223, performing attribute fusion on the attribute information to obtain first attribute information;

[0038] S224, integrating the first entity information, the first relationship information, and the first attribute information to obtain second knowledge information;

[0039] As an optional implementation manner, in an embodiment of the present invention, performing knowledge representation on the second knowledge information to obtain third knowledge information includes:

[0040] S231, processing the second knowledge information to obtain a structure information sequence;

[0041] S232: Perform vector representation on the structural information sequence to obtain third knowledge information.

[0042] As an optional implementation manner, in an embodiment of the present invention, the processing of the ethnic medicine database to obtain the potential target information of ethnic medicines includes:

[0043] S41, obtaining the user's search requirement information;

[0044] S42, searching the ethnic medicine database according to the user's search requirement information to obtain a gene pathway;

[0045] S43, processing the gene pathway to obtain potential target information of ethnic medicine.

[0046] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0047] This study, through functional enrichment analysis of target sites involved in the intervention of traditional Chinese medicines for high-altitude cerebral edema (HACE), can further explore the role of these traditional medicines in alleviating HACE and reveal the underlying biological mechanisms. This not only provides theoretical support for the development of novel treatments based on traditional Chinese medicines, but also offers new research directions and treatment methods for the innovation of modern medicine, thereby providing more effective health protection for residents, climbers, and researchers in high-altitude areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1 Schematic diagram of the target function enrichment analysis method for intervening high altitude cerebral edema based on ethnic medicine disclosed in an embodiment of the present invention;

[0050] Figure 2 It is a network model of the ethnic medicine ginseng-target-high altitude cerebral edema disclosed in an embodiment of the present invention;

[0051] Figure 3 Schematic diagram of the effect of ginsenoside CK on Bend.3 cell activity under normoxic and hypoxic conditions disclosed in the examples of the present invention. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0053] The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different objects, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or device comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or device.

[0054] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0055] The present invention discloses a target function enrichment analysis method and device for high-altitude cerebral edema. The method comprises: obtaining a high-altitude cerebral edema database; the high-altitude cerebral edema database includes N high-altitude cerebral edema data information; processing the high-altitude cerebral edema database to obtain high-altitude cerebral edema target information; obtaining an ethnic medicine database; processing the ethnic medicine database to obtain ethnic medicine potential target information; matching the high-altitude cerebral edema target information with the ethnic medicine potential target information to obtain associated target information; processing the associated targets to obtain a high-altitude cerebral edema network model; processing the high-altitude cerebral edema network model to obtain key targets and signal pathways; and experimentally verifying the key targets and signal pathways. The present invention provides a theoretical basis and new treatment strategies for the prevention and treatment of high-altitude cerebral edema. These are described in detail below.

[0056] Example 1

[0057] See also Figure 1 , Figure 1 This is a flow chart of the target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema disclosed in the embodiment of the present invention. Figure 1 The target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema is applied in the field of biomedical data processing technology, and the present invention is not limited to this embodiment. Figure 1 As shown, the target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema can include the following operations:

[0058] S1, obtaining a high altitude cerebral edema database; the high altitude cerebral edema database includes N high altitude cerebral edema data information;

[0059] The database is GeneCards, DisGeNET, DrugBank, or OMIM database;

[0060] S2, processing the high altitude cerebral edema database to obtain high altitude cerebral edema target information;

[0061] S3, obtain the ethnic medicine database; the database is TCMSP or ETCM;

[0062] S4, processing the ethnic medicine database to obtain potential target information of ethnic medicines;

[0063] S5, matching the high altitude cerebral edema target information with the potential target information of the ethnic medicine to obtain associated target information;

[0064] S6, processing the associated targets to obtain a high altitude cerebral edema network model;

[0065] S7, processing the high altitude cerebral edema network model to obtain key targets and signal pathways;

[0066] S8, experimentally verify the key targets and signaling pathways.

[0067] Optionally, the processing of the high altitude cerebral edema database to obtain high altitude cerebral edema target information includes:

[0068] S21, extracting knowledge from the high altitude cerebral edema database to obtain first knowledge information; the first knowledge information includes entity information, relationship information, and attribute information;

[0069] The high altitude cerebral edema database is labeled to obtain a labeled database; knowledge extraction processing is performed on the labeled database using a knowledge extraction model to obtain entity information, relationship information and attribute information;

[0070] The knowledge extraction model is an extraction algorithm pipeline;

[0071] S22, performing knowledge fusion on the first knowledge information to obtain second knowledge information;

[0072] Knowledge fusion mainly solves the problems of knowledge alignment and attribute fusion after the knowledge extraction process, forming second knowledge information with good consistency;

[0073] S23, performing knowledge representation on the second knowledge information to obtain third knowledge information;

[0074] Knowledge representation is to establish symbolic and vectorized representation of secondary knowledge information to obtain tertiary knowledge information, meeting different business knowledge representation requirements;

[0075] S24, processing the third knowledge information to obtain a knowledge graph of high altitude cerebral edema;

[0076] Processing the third knowledge information includes knowledge optimization and knowledge graph construction. Knowledge optimization is to optimize and improve the quality of knowledge, mine hidden and missed knowledge information, discover knowledge conflicts and update knowledge to obtain optimized knowledge information; then, the optimized knowledge information is processed to obtain a knowledge graph for high altitude cerebral edema.

[0077] S25, searching the high altitude cerebral edema knowledge graph according to the user's needs to obtain high altitude cerebral edema target information, including:

[0078] Analyze user needs and obtain demand analysis information;

[0079] Extract the demand analysis information to obtain key information, specifically:

[0080] Establish a lattice model for demand analysis information and a lattice model for out-of-vocabulary words;

[0081] The set of nodes in the lattice model is N = {n0, n1, ...}, the set of arcs is E = {e0, e1, ...}, and each node n i ∈N contains a time stamp t(n i ), arc e u→v represents the arc connecting node u to node v. Let the nodes in the lattice model be NS = {N0, N1, ...}, Represents node N in the lattice model i Connect to node N j A set of arcs.

[0082] Obtaining demand analysis information to be processed, identifying the demand analysis information to be processed, a lattice model of the demand analysis information, and a lattice model of out-of-vocabulary words (optionally, the identification method is an improved support vector machine model), and obtaining candidate key information;

[0083] Preprocess candidate key information: cluster candidate key information using the lattice model of demand analysis information and the lattice model of out-of-vocabulary words as cluster centers to obtain clustering results. Based on the clustering results, use the likelihood criterion to confirm the clustering results and obtain key information.

[0084] Through the above key information steps, the efficiency of calculation can be improved and redundant information can be removed.

[0085] Establishing index information for the high altitude cerebral edema knowledge graph;

[0086] The key information and the index information are processed to obtain an evaluation value:

[0087]

[0088] Among them, K(X,Y) is the evaluation value, X is the key information vector, Y is the index information vector, X i and Y i is the value of the corresponding vector in the i-th dimension;

[0089] The high altitude cerebral edema knowledge graph with the highest evaluation value is selected as the high altitude cerebral edema target information.

[0090] Optionally, extracting knowledge from the high altitude cerebral edema database to obtain first knowledge information includes:

[0091] S211, extracting entities from the high altitude cerebral edema database to obtain entity information;

[0092] S212, performing relationship extraction on the high altitude cerebral edema database to obtain relationship information;

[0093] S213: Extract attributes from the high altitude cerebral edema database to obtain attribute information.

[0094] Optionally, extracting entities from the high altitude cerebral edema database to obtain entity information includes:

[0095] S2111, inserting special tags into the data in the high altitude cerebral edema database to obtain an interpolated text sequence;

[0096] S2112, mapping the interpolated text sequence with a Chinese character vector dictionary pre-trained based on a Bert model to obtain character embedding information of the text data;

[0097] S2113, performing position embedding on the interpolated text sequence to obtain position embedding information of the text data;

[0098] S2114, processing the character embedding information of the text data and the position embedding information of the text data to obtain embedding representation information of the text data;

[0099] S2115: Using the BERT pre-trained language model, the embedded representation information of the text data is processed to obtain key text representation information, including:

[0100] S21151, using the Bert pre-trained language model, processing the embedded representation information v of the text data to obtain the hidden layer state H of the Bert pre-trained language model, H = [h1, h2, ..., h 12 ], h i is the state of the i-th hidden layer;

[0101] S21152, according to the entity position information, obtaining the corresponding position of the last hidden layer state of the BERT pre-trained language model to obtain an entity word vector set;

[0102] S21153, calculating the average value of any two entity word vectors in the entity word vector set to obtain a first average value e1 and a second average value e2;

[0103] S21154, using an entity fusion model to process the first average value e1, the second average value e2, and the hidden layer state H to obtain fused entity information H′;

[0104] The entity fusion model is:

[0105] H′=h1:h2:…:h 12 :e1:e2

[0106] Among them, : means splicing the vectors in the non-vector direction;

[0107] S21155, normalizing the fused entity information H′ to obtain normalized entity information H1;

[0108] S21156: Use the attention neural network layer to process the normalized entity information H1 to obtain key information for text representation.

[0109] S2116, using the text to represent key information, training a preset entity extraction model to obtain an optimized entity extraction model;

[0110] S2117, using the optimized entity extraction model, processing the high altitude cerebral edema data information to be processed to obtain entity information.

[0111] Optionally, performing knowledge fusion on the first knowledge information to obtain second knowledge information includes:

[0112] S221, aligning the entity information to obtain first entity information;

[0113] S222, aligning the relationship information to obtain first relationship information;

[0114] S223, performing attribute fusion on the attribute information to obtain first attribute information;

[0115] S224, integrating the first entity information, the first relationship information, and the first attribute information to obtain second knowledge information;

[0116] Optionally, performing knowledge representation on the second knowledge information to obtain third knowledge information includes:

[0117] S231, processing the second knowledge information to obtain a structure information sequence;

[0118] S232: Perform vector representation on the structural information sequence to obtain third knowledge information.

[0119] Step S232 includes:

[0120] The structural information sequence is represented by a vector to obtain an embedded vector;

[0121] For the embedding vector x={x1,x2…,x n} to process and obtain the vector structure diagram information:

[0122] N(x i )={x j |s=1,2,…,n,s≠j,d(x i ,x j )≤d(x s ,x j )}

[0123] n is the vector dimension, N(x i ) is x i The corresponding connection structure diagram, d(x i ,x j ) represents x i ,x j The Euclidean distance between them; i = 1, 2, ..., n, j = 1, 2, ..., n;

[0124] Calculate x i ,x j The connection probability p between ij :

[0125]

[0126] σ i is point x i The corresponding scale parameters are pre-set parameters;

[0127] Assume that the low-dimensional vector is Y={y1,y2,…,y m}, m is the dimension;

[0128] Construct similarity coefficient q ij for:

[0129] q ij =(1+a||y i -y j || 2b ) -1

[0130] Where a and b are hyperparameters;

[0131] Construct the objective function:

[0132]

[0133] Where η is the learning rate, which controls the step size of each update.

[0134] By randomly initializing Y and continuously updating and iterating, the objective function is minimized. At this time, the structure in the high-dimensional space is preserved in the low-dimensional space, and the final dimensionality reduction result Y is obtained. The final dimensionality reduction result Y is the third knowledge information.

[0135] Optionally, the processing of the ethnic medicine database to obtain potential target information of ethnic medicines includes:

[0136] S41, obtaining the user's search requirement information;

[0137] S42, searching the ethnic medicine database according to the user's search requirement information to obtain gene pathways, including:

[0138] Model the user's retrieval demand information to obtain the demand information hidden Markov model;

[0139] The ethnodrug database was preprocessed to obtain the hidden Markov model of W candidate gene pathways;

[0140] Using dynamic time planning algorithm, the demand information hidden Markov model and the hidden Markov model of W candidate gene pathways are processed to obtain the gene pathway;

[0141] S43, processing the gene pathway to obtain potential target information of ethnic medicine.

[0142] Example 2

[0143] This embodiment includes the following steps:

[0144] (1) HACE target screening: Disease targets related to HACE were screened through the database;

[0145] (2) Collection of information on ethnic medicines: collecting active ingredients of ethnic medicines and obtaining potential targets of the ethnic medicines;

[0146] (3) Target matching: Match the potential targets obtained in step (2) with the disease targets obtained in step (1) to screen out the intersection targets;

[0147] (4) Functional enrichment analysis and network construction: Using bioinformatics tools, pathway enrichment analysis was performed on the intersection targets obtained in step (3), and a network model of ethnic medicine-target-HACE was constructed based on the intersection targets to screen out key targets and signal pathways;

[0148] (5) Verify the selected key targets and signaling pathways through in vitro cell experiments and in vivo animal models.

[0149] Preferably, the database in step (1) is GeneCards, DisGeNET, DrugBank or OMIM database.

[0150] Preferably, the screening in step (1) is as follows: searching for disease targets related to high altitude cerebral edema through a database, and merging database results and deleting duplicates to obtain the disease targets.

[0151] Preferably, the ethnic medicine described in step (2) is Tibetan medicine or Miao medicine.

[0152] Preferably, the method for obtaining the potential target of the ethnic medicine in step (2) is: searching database information. More preferably, the database is TCMSP or ETCM.

[0153] Preferably, the bioinformatics tool in step (4) is GO (Gene Ontology) or KEGG (Kyoto Encyclopedia of Genes and Genomes).

[0154] Example 3

[0155] Functional enrichment analysis of ethnic intervention targets for high altitude cerebral edema:

[0156] (1) Using the GeneCards database, we screened out disease targets related to high altitude cerebral edema, and a total of 739 key targets were screened.

[0157] (2) Collection of ethnic medicine information: Through the TCMSP database, collect ethnic medicines related to the treatment of high-altitude cerebral edema, including Tibetan medicine, Miao medicine, etc., to obtain their active ingredients and potential targets.

[0158] (3) The Chinese herbal medicine components and targets obtained through collection and screening are summarized as follows: Astragalus has 12 active ingredients and 80 targets; Salvia miltiorrhiza has 46 active ingredients and 139 targets; Ginseng has 31 active ingredients and 76 targets; Angelica sinensis has 6 active ingredients and 53 targets; Carthamus tinctorius has 18 active ingredients and 137 targets; Ligusticum chuanxiong has 18 active ingredients and 80 targets; Ginkgo biloba has 31 active ingredients and 133 targets; Panax notoginseng has 17 active ingredients and 91 targets; Lycium barbarum has 44 active ingredients and 84 targets. Tibetan medicine components and targets include Rhodiola rosea with 58 active ingredients and 540 targets; Melon chinensis has 13 active ingredients and 328 targets; Ganqinglan has 16 active ingredients and 247 targets; Aster tataricus has 9 active ingredients and 107 targets.

[0159] (4) Drug targets: The potential targets of ethnic medicines were matched with the key targets of high altitude cerebral edema, and the intersection targets were screened out, as shown in Table 1. GO and KEGG pathway enrichment analysis was also performed to reveal the important roles of these targets in biological processes such as hypoxia response, oxidative stress, and cell apoptosis.

[0160] Table 1 Targets of ethnic medicines for intervention of high altitude cerebral edema

[0161]

[0162]

[0163]

[0164]

[0165]

[0166] (5) Network construction and experimental verification: Based on the screened intersection targets, a network model of ethnic medicine-target-HACE was constructed, and the intervention effect of ethnic medicine was verified through in vitro cell experiments.

[0167] Figure 2 It is a network model of the ethnic medicine ginseng-target-high altitude cerebral edema disclosed in an embodiment of the present invention; Figure 3 Schematic diagram of the effect of ginsenoside CK on Bend.3 cell activity under normoxic and hypoxic conditions disclosed in the examples of the present invention.

[0168] The device embodiments described above are merely illustrative. Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0169] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the portion that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0170] Finally, it should be noted that the target function enrichment analysis method for intervening in high-altitude cerebral edema based on ethnic medicine disclosed in the embodiment of the present invention is only a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to replace some of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema, characterized by: The method comprises: S1, obtaining a high altitude cerebral edema database; the high altitude cerebral edema database includes N high altitude cerebral edema data information; S2, processing the high altitude cerebral edema database to obtain high altitude cerebral edema target information; S3, access to ethnomedicine database; S4, processing the ethnic medicine database to obtain potential target information of ethnic medicines; S5, matching the high altitude cerebral edema target information with the potential target information of the ethnic medicine to obtain associated target information; S6, processing the associated targets to obtain a high altitude cerebral edema network model; S7, processing the high altitude cerebral edema network model to obtain key targets and signal pathways; S8, experimentally verify the key targets and signaling pathways.

2. The target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema according to claim 1, characterized in that: The processing of the high altitude cerebral edema database to obtain high altitude cerebral edema target information includes: S21, extracting knowledge from the high altitude cerebral edema database to obtain first knowledge information; the first knowledge information includes entity information, relationship information, and attribute information; S22, performing knowledge fusion on the first knowledge information to obtain second knowledge information; S23, performing knowledge representation on the second knowledge information to obtain third knowledge information; S24, processing the third knowledge information to obtain a knowledge graph of high altitude cerebral edema; S25, searching the high altitude cerebral edema knowledge graph according to the user's needs to obtain high altitude cerebral edema target information.

3. The target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema according to claim 2, characterized in that: The extracting knowledge from the high altitude cerebral edema database to obtain first knowledge information includes: S211, extracting entities from the high altitude cerebral edema database to obtain entity information; S212, performing relationship extraction on the high altitude cerebral edema database to obtain relationship information; S213: Extract attributes from the high altitude cerebral edema database to obtain attribute information.

4. The target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema according to claim 3, characterized in that: The entity extraction from the high altitude cerebral edema database to obtain entity information includes: S2111, inserting special tags into the data in the high altitude cerebral edema database to obtain an interpolated text sequence; S2112, mapping the interpolated text sequence with a Chinese character vector dictionary pre-trained based on a Bert model to obtain character embedding information of the text data; S2113, performing position embedding on the interpolated text sequence to obtain position embedding information of the text data; S2114, processing the character embedding information of the text data and the position embedding information of the text data to obtain embedding representation information of the text data; S2115, using the Bert pre-trained language model, processing the embedded representation information of the text data to obtain key text representation information; S2116, using the text to represent key information, training a preset entity extraction model to obtain an optimized entity extraction model; S2117, using the optimized entity extraction model, processing the high altitude cerebral edema data information to be processed to obtain entity information.

5. The target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema according to claim 2, characterized in that: The performing knowledge fusion on the first knowledge information to obtain second knowledge information includes: S221, aligning the entity information to obtain first entity information; S222, aligning the relationship information to obtain first relationship information; S223, performing attribute fusion on the attribute information to obtain first attribute information; S224: Integrate the first entity information, the first relationship information, and the first attribute information to obtain second knowledge information.

6. The target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema according to claim 2, characterized in that: The performing knowledge representation on the second knowledge information to obtain third knowledge information includes: S231, processing the second knowledge information to obtain a structure information sequence; S232: Perform vector representation on the structural information sequence to obtain third knowledge information.

7. The target function enrichment analysis method based on ethnic medicine intervention for high altitude cerebral edema according to claim 1, characterized in that: The processing of the ethnic medicine database to obtain potential target information of ethnic medicines includes: S41, obtaining the user's search requirement information; S42, searching the ethnic medicine database according to the user's search requirement information to obtain a gene pathway; S43, processing the gene pathway to obtain potential target information of ethnic medicine.

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