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

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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Bibliographic Details
Main Authors: Liis Kolberg, Ivan Kuzmin, Priit Adler, Jaak Vilo, Hedi Peterson
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Genomics
Subjects:
funcExplorer
Gene expression
RNA-seq
Microarray
Protoarray
Hierarchical clustering
Online Access:http://link.springer.com/article/10.1186/s12864-018-5176-x

Internet

http://link.springer.com/article/10.1186/s12864-018-5176-x

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