BiVisu: Software tool for bicluster detection and visualization

K. O. Cheng; Ngai Fong Law; W. C. Siu; T. H. Lau

doi:10.1093/bioinformatics/btm338

BiVisu: Software tool for bicluster detection and visualization

K. O. Cheng, Ngai Fong Law, W. C. Siu, T. H. Lau

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

53 Citations (Scopus)

Abstract

Summary: BiVisu is an open-source software tool for detecting and visualizing biclusters embedded in a gene expression matrix. Through the use of appropriate coherence relations, BiVisu can detect constant, constant-row, constant-column, additive-related as well as multiplicative-related biclusters. The biclustering results are then visualized under a 2D setting for easy inspection. In particular, parallel coordinate (PC) plots for each bicluster are displayed, from which objective and subjective cluster quality evaluation can be performed.

Original language	English
Pages (from-to)	2342-2344
Number of pages	3
Journal	Bioinformatics
Volume	23
Issue number	17
DOIs	https://doi.org/10.1093/bioinformatics/btm338
Publication status	Published - 1 Sept 2007

ASJC Scopus subject areas

Statistics and Probability
General Medicine
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btm338

Cite this

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BiVisu: Software tool for bicluster detection and visualization

Abstract

ASJC Scopus subject areas

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