Equivalent change enrichment analysis: assessing equivalent and inverse change in biological pathways between diverse experiments.

ABSTRACT:

Background

In silico functional genomics have become a driving force in the way we interpret and use gene expression data, enabling researchers to understand which biological pathways are likely to be affected by the treatments or conditions being studied. There are many approaches to functional genomics, but a number of popular methods determine if a set of modified genes has a higher than expected overlap with genes known to function as part of a pathway (functional enrichment testing). Recently, researchers have started to apply such analyses in a new way: to ask if the data they are collecting show similar disruptions to biological functions compared to reference data. Examples include studying whether similar pathways are perturbed in smokers vs. users of e-cigarettes, or whet

SUBMITTER: Thompson JA 

PROVIDER: S-EPMC7041296 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature