Inferring Molecular Processes Heterogeneity from Transcriptional Data.

ABSTRACT: RNA microarrays and RNA-seq are nowadays standard technologies to study the transcriptional activity of cells. Most studies focus on tracking transcriptional changes caused by specific experimental conditions. Information referring to genes up- and downregulation is evaluated analyzing the behaviour of relatively large population of cells by averaging its properties. However, even assuming perfect sample homogeneity, different subpopulations of cells can exhibit diverse transcriptomic profiles, as they may follow different regulatory/signaling pathways. The purpose of this study is to provide a novel methodological scheme to account for possible internal, functional heterogeneity in homogeneous cell lines, including cancer ones. We propose a novel computational method to infer the proporti

SUBMITTER: Gogolewski K 

PROVIDER: S-EPMC5736944 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature