Semantic biclustering for finding local, interpretable and predictive expression patterns.
Journal:
BMC genomics
Published Date:
Oct 16, 2017
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 these conditions. This understanding can further be improved by providing concise characterizations of the genes and situations delimiting the pattern.