funcExplorer: a tool for fast data-driven functional characterisation of high-throughput expression data

Abstract Background A widely applied approach to extract knowledge from high-throughput genomic data is clustering of gene expression profiles followed by functional enrichment analysis. This type of analysis, when done manually, is highly subjective and has limited reproducibility. Moreover, this p...

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Xehetasun bibliografikoak

Egile Nagusiak:	Liis Kolberg, Ivan Kuzmin, Priit Adler, Jaak Vilo, Hedi Peterson
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	BMC 2018-11-01
Saila:	BMC Genomics
Gaiak:	funcExplorer Gene expression RNA-seq Microarray Protoarray Hierarchical clustering
Sarrera elektronikoa:	http://link.springer.com/article/10.1186/s12864-018-5176-x
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!