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Bioinformatics Advance Access originally published online on June 22, 2007
Bioinformatics 2007 23(17):2342-2344; doi:10.1093/bioinformatics/btm338
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

BiVisu: software tool for bicluster detection and visualization

K.O. Cheng *, N.F. Law , W.C. Siu and T.H. Lau

Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong

*To whom correspondence should be addressed.


  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.

Availability: BiVisu has been developed in Matlab and is available at http://www.eie.polyu.edu.hk/~nflaw/Biclustering/

Contact: k.o.cheng{at}polyu.edu.hk

Associate Editor: Olga Troyanskaya

Received on April 30, 2007; revised on June 13, 2007; accepted on June 19, 2007

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[Abstract] [Full Text] [PDF]


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