Title
BicAT: a biclustering analysis toolbox.
Abstract
Besides classical clustering methods such as hierarchical clustering, in recent years biclustering has become a popular approach to analyze biological data sets, e.g. gene expression data. The Biclustering Analysis Toolbox (BicAT) is a software platform for clustering-based data analysis that integrates various biclustering and clustering techniques in terms of a common graphical user interface. Furthermore, BicAT provides different facilities for data preparation, inspection and postprocessing such as discretization, filtering of biclusters according to specific criteria or gene pair analysis for constructing gene interconnection graphs. The possibility to use different biclustering algorithms inside a single graphical tool allows the user to compare clustering results and choose the algorithm that best fits a specific biological scenario. The toolbox is described in the context of gene expression analysis, but is also applicable to other types of data, e.g. data from proteomics or synthetic lethal experiments.The BicAT toolbox is freely available at http://www.tik.ee.ethz.ch/sop/bicat and runs on all operating systems. The Java source code of the program and a developer's guide is provided on the website as well. Therefore, users may modify the program and add further algorithms or extensions.
Year
DOI
Venue
2006
10.1093/bioinformatics/btl099
Bioinformatics
Keywords
Field
DocType
clustering result,gene interconnection graph,data preparation,gene pair analysis,classical clustering method,clustering-based data analysis,biclustering analysis toolbox,gene expression data,biological data set,gene expression analysis,clustering technique,graphic user interface,operating system,source code,biological data,gene expression,data analysis
Hierarchical clustering,Biological data,Data mining,Computer science,Toolbox,Graphical user interface,Software,Data type,Biclustering,Bioinformatics,Cluster analysis
Journal
Volume
Issue
ISSN
22
10
1367-4803
Citations 
PageRank 
References 
126
3.95
6
Authors
5
Search Limit
100126
Name
Order
Citations
PageRank
Simon Barkow11263.95
a stefan bleuler a279535.85
Amela Prelić348116.70
Philip Zimmermann453120.49
Eckart Zitzler54678291.01