Biomarker system screening method based on multi-omics
A technology of biomarkers and screening methods, applied in the field of biomarker screening, can solve problems such as one-sided conclusions, complicated interactions, and inconvenience in biomarker screening and further exploration.
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Embodiment 1
[0036] refer to figure 2 , the first embodiment of the present invention provides a multi-omics-based biomarker system screening method, including:
[0037] Step S10, based on each mRNA expression profile data in two patient sample groups with different conditions, obtain a list of significantly differentially expressed genes;
[0038] As mentioned above, the different conditions are the differences between the two groups of patient samples, which may include but not limited to: 1. Age difference, for example, one group is younger than 50 years old, and the other group is older than 80 years old; 2. Physical condition, for example, One group has diabetes and the other group does not have diabetes; 3. Gender difference, one group is male and the other group is female; 4. Nationality or race difference, one group is yellow, the other group is white, etc. Wait.
[0039] As mentioned above, what is obtained in this step is the list of significantly differentially expressed gene...
Embodiment 2
[0054] refer to image 3 , the second embodiment of the present invention provides a multi-omics-based biomarker system screening method, based on the above figure 2 In the first embodiment shown, in the step S20, the acquisition of miRNA omics-level characteristic markers includes:
[0055] Step S21, obtaining a target gene set list through the miRNA-target gene relationship prediction algorithm;
[0056] As mentioned above, in the step of obtaining characteristic markers at the miRNA omics level, two data need to be input, one is the list of significantly differentially expressed genes, and the other is the data for predicting the relationship between miRNA-target genes, which is the list of target gene sets . The list of target gene sets can be obtained from existing databases through calculation. That is, each miRNA corresponds to a target gene set list, which contains its target gene set.
[0057] The miRNA-target gene relationship prediction algorithm is the sequenc...
Embodiment 3
[0066] refer to Figure 4 , the third embodiment of the present invention provides a multi-omics-based biomarker system screening method, based on the above figure 2 In the first embodiment shown, in the step S20, the acquisition of characteristic markers at the proteomics level includes:
[0067] Step S25, obtain the protein name corresponding to each gene in the list of significantly differentially expressed genes, and obtain the protein interaction data pair matching the protein name corresponding to each gene in the list of significantly differentially expressed genes, as PPI data set;
[0068] As mentioned above, a protein is a substance with a certain spatial structure formed by a polypeptide chain composed of amino acids in the form of "dehydration condensation" after twists and turns. Also, chromosomes are composed of DNA and histones together. A gene is a nucleic acid sequence on DNA that encodes a specific protein, so genes and proteins have a corresponding relat...
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