Stratification of gene coexpression patterns and GO function mining for a RNA-Seq data series.

ABSTRACT: RNA-Seq is emerging as an increasingly important tool in biological research, and it provides the most direct evidence of the relationship between the physiological state and molecular changes in cells. A large amount of RNA-Seq data across diverse experimental conditions have been generated and deposited in public databases. However, most developed approaches for coexpression analyses focus on the coexpression pattern mining of the transcriptome, thereby ignoring the magnitude of gene differences in one pattern. Furthermore, the functional relationships of genes in one pattern, and notably among patterns, were not always recognized. In this study, we developed an integrated strategy to identify differential coexpression patterns of genes and probed the functional mechanisms of the modules

SUBMITTER: Zhao H 

PROVIDER: S-EPMC4052503 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature