The Tsallis generalized entropy enhances the interpretation of transcriptomics datasets.

ABSTRACT:

Background

Identifying differentially expressed genes between experimental conditions is still the gold-standard approach to interpret transcriptomic profiles. Alternative approaches based on diversity measures have been proposed to complement the interpretation of such datasets but are only used marginally.

Methods

Here, we reinvestigated diversity measures, which are commonly used in ecology, to characterize mice pregnancy microenvironments based on a public transcriptome dataset. Mainly, we evaluated the Tsallis entropy function to explore the potential of a collection of diversity measures for capturing relevant molecular event information.

Results

We demonstrate that the Tsallis entropy function provides additional information compared to the traditional diversit

SUBMITTER: Derian N 

PROVIDER: S-EPMC9022844 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature