Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series

Figure 1

A schematic overview of COGO. A series of RNA-Seq data with three conditions was selected to illustrate the analysis process. The characteristic attributes “Der” and “SE” were extracted by a derivation method of polynomial curve fitting (DPCF) and by Shannon’s Entropy (SE) models, respectively. Gene categories can then be established through clustering. A functional enrichment analysis was then performed for the categories to determine significant functions. Finally, the semantic similarity measurement was conducted to identify functional modules.