Affiliation of Author(s):山东大学数学学院

Journal:Nucleic Acids Research

Abstract:Biclustering extends the traditional clustering techniques by attempting to find (all) subgroups of genes with similar expression patterns under to-be-identified subsets of experimental conditions when applied to gene expression data. Still the real power of this clustering strategy is yet to be fully realized due to the lack of effective and efficient algorithms for reliably solving the general biclustering problem. We report a QUalitative BIClustering algorithm (QUBIC) that can solve the biclustering problem in a more general form, compared to existing algorithms, through employing a ...

All the Authors:Paterson, A. C.,Tang, H.

First Author:Ma†, Q.,Li†, G.

Indexed by:Journal paper

Correspondence Author:Xu, Y.

Discipline:Natural Science

First-Level Discipline:Mathematics

Document Type:J

Volume:37

Issue:15

Translation or Not:no

Date of Publication:2009-01-01

Included Journals:SCI