Method and system for discovering and integrating rectal cancer related genes by utilizing public data resources and analyzing functions of rectal cancer related genes, and application
A resource discovery and public data technology, applied in the fields of medical genomics and computational biology, can solve the problems of not being able to independently complete gene-related bioinformatics analysis and not being good at integrating existing network resources, so as to reduce scientific research costs and improve analysis efficiency effect
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[0102] Firstly, the raw data is filtered, and then low-quality data are removed to obtain effective mRNA normalized expression values. Based on the differential analysis results of mRNA expression data, functional analysis and gene interaction analysis were performed. On the basis of the above analysis, a series of statistical and visual analysis can be carried out.
[0103] 1. The mRNA expression value file is shown in Table 1
[0104] Analysis platform: R platform
[0105] Analysis software: TCGAbiolinks
[0106] Table 1
[0107]
[0108] Explanation of column names:
[0109]
[0110] 2. The results of mRNA expression analysis are shown in Table 2
[0111] Analysis platform: R platform
[0112] Analysis software: TCGAbiolinks
[0113] Table 2
[0114]
[0115] Explanation of column names:
[0116]
[0117] 3. The results of differentially expressed mRNA are shown in Table 3
[0118] Analysis platform: R platform
[0119] Analysis software: TCGAbiolinks...
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