Identifying gene-specific subgroups: an alternative to biclustering.

ABSTRACT:

Background

Transcriptome analysis aims at gaining insight into cellular processes through discovering gene expression patterns across various experimental conditions. Biclustering is a standard approach to discover genes subsets with similar expression across subgroups of samples to be identified. The result is a set of biclusters, each forming a specific submatrix of rows (e.g. genes) and columns (e.g. samples). Relevant biclusters can, however, be missed when, due to the presence of a few outliers, they lack the assumed homogeneity of expression values among a few gene/sample combinations. The Max-Sum SubMatrix problem addresses this issue by looking at highly expressed subsets of genes and of samples, without enforcing such homogeneity.

Results

We present here the K-CPGC

SUBMITTER: Branders V 

PROVIDER: S-EPMC6888937 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature