A Model-Based Joint Identification of Differentially Expressed Genes and Phenotype-Associated Genes.

ABSTRACT: Over the last decade, many analytical methods and tools have been developed for microarray data. The detection of differentially expressed genes (DEGs) among different treatment groups is often a primary purpose of microarray data analysis. In addition, association studies investigating the relationship between genes and a phenotype of interest such as survival time are also popular in microarray data analysis. Phenotype association analysis provides a list of phenotype-associated genes (PAGs). However, it is sometimes necessary to identify genes that are both DEGs and PAGs. We consider the joint identification of DEGs and PAGs in microarray data analyses. The first approach we used was a naïve approach that detects DEGs and PAGs separately and then identifies the genes in an intersection

SUBMITTER: Cho SS 

PROVIDER: S-EPMC4786130 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature