Research On Analysis Methods Based On Tissue-specific Gene Set Weights

Gene set testing is one of the indispensable analysis methods for analyzing highdimensional genome data.Although the expression and function of many genes are tissue-specific,gene set testing is performed in a way that does not distinguish between tissue types.In this case,performing gene set testing will increase both the type I and type II error rates,so it is necessary to use tissue-specific information for gene set testing.This paper uses the tissue-specific gene activity information in the human protein atlas to calculate the tissue-specific gene weights,and uses the filtered gene set in the molecular signature database to generate the tissuespecific gene set weights.In order to prove the validity of these weights,we use the weights to perform gene set testing on the gene expression data of three diseases,use the -values generated by the testing to weight,and through weighted FDR analysis,we can see that using tissue-specific gene set weights for weighting improve the statistical power of gene set testing,and more accurately identify the biological gene set asscociation information of high-dimensional genome data.