AMEND: active module identification using experimental data and network diffusion.

ABSTRACT:

Background

Molecular interaction networks have become an important tool in providing context to the results of various omics experiments. For example, by integrating transcriptomic data and protein-protein interaction (PPI) networks, one can better understand how the altered expression of several genes are related with one another. The challenge then becomes how to determine, in the context of the interaction network, the subset(s) of genes that best captures the main mechanisms underlying the experimental conditions. Different algorithms have been developed to address this challenge, each with specific biological questions in mind. One emerging area of interest is to determine which genes are equivalently or inversely changed between different experiments. The equivalent change in

SUBMITTER: Boyd SS 

PROVIDER: S-EPMC10324253 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature