GEMS: a web server for biclustering analysis of expression data.

ABSTRACT: The advent of microarray technology has revolutionized the search for genes that are differentially expressed across a range of cell types or experimental conditions. Traditional clustering methods, such as hierarchical clustering, are often difficult to deploy effectively since genes rarely exhibit similar expression pattern across a wide range of conditions. Biclustering of gene expression data (also called co-clustering or two-way clustering) is a non-trivial but promising methodology for the identification of gene groups that show a coherent expression profile across a subset of conditions. Thus, biclustering is a natural methodology as a screen for genes that are functionally related, participate in the same pathways, affected by the same drug or pathological condition, or genes that

SUBMITTER: Wu CJ 

PROVIDER: S-EPMC1160230 | biostudies-literature | 2005 Jul

REPOSITORIES: biostudies-literature