Interaction-based transcriptome analysis via differential network inference.

ABSTRACT: Gene-based transcriptome analysis, such as differential expression analysis, can identify the key factors causing disease production, cell differentiation and other biological processes. However, this is not enough because basic life activities are mainly driven by the interactions between genes. Although there have been already many differential network inference methods for identifying the differential gene interactions, currently, most studies still only use the information of nodes in the network for downstream analyses. To investigate the insight into differential gene interactions, we should perform interaction-based transcriptome analysis (IBTA) instead of gene-based analysis after obtaining the differential networks. In this paper, we illustrated a workflow of IBTA by developing a

SUBMITTER: Leng J 

PROVIDER: S-EPMC9677477 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature