Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species.

ABSTRACT:

Motivation

Gene clustering is a widely used technique that has enabled computational prediction of unknown gene functions within a species. However, it remains a challenge to refine gene function prediction by leveraging evolutionarily conserved genes in another species. This challenge calls for a new computational algorithm to identify gene co-clusters in two species, so that genes in each co-cluster exhibit similar expression levels in each species and strong conservation between the species.

Results

Here, we develop the bipartite tight spectral clustering (BiTSC) algorithm, which identifies gene co-clusters in two species based on gene orthology information and gene expression data. BiTSC novelly implements a formulation that encodes gene orthology as a bipartite network

SUBMITTER: Sun YE 

PROVIDER: S-EPMC8599197 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature