Relation predicating method, device and electronic equipment

A prediction method and relational technology, applied in the field of data analysis, can solve the problems of one-sided data analysis and low reliability, and achieve the effect of comprehensive data, high reliability, and reliable prediction and analysis results

Active Publication Date: 2019-05-03
ACADEMY OF MILITARY MEDICAL SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] For the existing prediction methods of drug-target correlation or drug-disease correlation, only a single attribute data among drug, target, and disease is used, and only the prediction result of binary correlation can be obtained, and the data analysis is relatively one-sided. , low reliability

Method used

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  • Relation predicating method, device and electronic equipment
  • Relation predicating method, device and electronic equipment
  • Relation predicating method, device and electronic equipment

Examples

Experimental program
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Effect test

no. 1 example

[0053] This embodiment provides a relationship prediction method, please refer to figure 1 , the method includes: step S11-step S13. After step S13 is executed, the model and prediction results obtained through the above steps can also be verified and evaluated, and cluster analysis can also be performed on multiple networks in the implementation process, and other possible associations can be explored on the basis of the prediction results relationship, the whole process can be referred to figure 2 .

[0054] Combine first figure 1 The relationship prediction method provided in this embodiment is specifically introduced.

[0055] Step S11: Fuse multiple drug single-attribute similarity networks, multiple target single-attribute similarity networks, and multiple disease single-attribute similarity networks to obtain the fusion drug similarity network, fusion target similarity network, and fusion disease similarity network sex network.

[0056] Step S12: Construct a terna...

no. 2 example

[0176] This embodiment provides a relationship prediction device 100, which is used to implement the methods of the foregoing embodiments. see image 3 , the device includes: a fusion similarity network obtaining module 110 , a ternary heterogeneous network obtaining module 120 , and a relationship prediction module 130 .

[0177] The fusion similarity network obtaining module 110 is used to respectively fuse multiple drug single-attribute similarity networks, multiple target single-attribute similarity networks, and multiple disease single-attribute similarity networks to obtain the fusion drug similarity network, fusion target Similarity network, fusion disease similarity network;

[0178] The ternary heterogeneous network acquisition module 120 is used to construct a ternary heterogeneous network according to the fusion drug similarity network, fusion target similarity network, and fusion disease similarity network;

[0179] The relationship prediction module 130 is used ...

no. 3 example

[0190] This embodiment provides an electronic device 200, please refer to Figure 4 , the device includes: a processor 210, a memory 220 and a bus. The memory 220 stores machine-readable instructions executable by the processor 210. When the electronic device 200 is running, the processor 210 communicates with the memory 220 through the bus, and the machine can When the read instruction is executed by the processor 210, the relationship prediction method described in the foregoing embodiments or the steps in any possible implementation manner of the method are executed.

[0191] In a specific implementation process, the electronic device 200 may also include components such as a communication and network expansion card, an optical fiber card, or a multi-serial port communication card, which will not be repeated here.

[0192] In addition to the above-mentioned embodiments, an embodiment of the present invention also provides a computer storage medium, on which a computer progr...

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Abstract

An embodiment of the invention provides a relation predicating method, a device and electronic equipment. The relation predicating method comprises the steps of fusing a plurality of medicament single-attribute similarity networks, a plurality of target single-attribute similarity network and a plurality of disease single-attribute similarity networks, thereby obtaining a fused medicament similarity network, a fused target similarity network and a fused disease similarity network; constructing a three-element heterogeneous network according to the fused medicament similarity network, the fusedtarget similarity network and the fused disease similarity network; predicting the network node of the three-element heterogeneous network, and obtaining a first association relation which comprisesa first medicament-target association relation, a second medicament-disease association relation and a first target-disease association relation. Therefore medicament-target-disease three-element association relation information can be sufficiently mined. The similarity networks of multiple attributes of medicament, disease and target are fused. Accuracy reduction of the predication result causedby eccentricity caused by a single attribute is prevented.

Description

technical field [0001] The present invention relates to the field of data analysis, in particular to a relationship prediction method, device and electronic equipment. Background technique [0002] For the existing prediction methods of drug-target correlation or drug-disease correlation, only a single attribute data among drug, target, and disease is used, and only the prediction result of binary correlation can be obtained, and the data analysis is relatively one-sided. , low reliability. Contents of the invention [0003] In view of this, the purpose of the embodiments of the present invention is to provide a relationship prediction method, device and electronic equipment to provide reliable and comprehensive prediction data. [0004] In the first aspect, an embodiment of the present invention provides a method for predicting a relationship, the method comprising: [0005] Multiple drug single-attribute similarity networks, multiple target single-attribute similarity ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16C20/50G16C20/40
Inventor 何松伯晓晨宋欣雨文昱琦杨晓曦刘祯
Owner ACADEMY OF MILITARY MEDICAL SCI
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