Semantic biclustering for finding local, interpretable and predictive expression patterns

Abstract Background One of the major challenges in the analysis of gene expression data is to identify local patterns composed of genes showing coherent expression across subsets of experimental conditions. Such patterns may provide an understanding of underlying biological processes related to thes...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Jiří Kléma, František Malinka, Filip železný
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2017-10-01
Serija:	BMC Genomics
Teme:	Biclustering Enrichment analysis Symbolic machine learning Ontology Gene expression
Online dostop:	http://link.springer.com/article/10.1186/s12864-017-4132-5
Oznake:	Označite Brez oznak, prvi označite!