BACK TO CONTENTS   |    PDF   |    PREVIOUS   |    NEXT

Title

 

 

 

 

Mfuzz: A software package for soft clustering of microarray data

 

Authors

Lokesh Kumar1, 2, 3 & Matthias E. Futschik1*

 

Affiliation

1Institute of Medical Informatics and Biometry, CharitÚ, Humboldt-University, Invalidenstra ▀e 43, 10115 Berlin, Germany;  2Department of Systems Biology, Keio University, Yamagata 997-0035, Japan;  3Department of Biotechnology, Indian Institute of Technology, Guwahati - 781039, India

 

Email

m.futschik@staff.hu-berlin.de

 

Phone

+49 30 2093 9106; * Corresponding author

Article Type

Software

Date

received April 12, 2007; accepted May 01, 2006; published online May 20, 2007

 

Abstract

For the analysis of microarray data, clustering techniques are frequently used. Most of such methods are based on hard clustering of data wherein one gene (or sample) is assigned to exactly one cluster. Hard clustering, however, suffers from several drawbacks such as sensitivity to noise and information loss.  In contrast, soft clustering methods can assign a gene to several clusters. They can overcome shortcomings of conventional hard clustering techniques and offer further advantages. Thus, we constructed an R package termed Mfuzz implementing soft clustering tools for microarray data analysis. The additional package Mfuzzgui provides a convenient TclTk-based graphical user interface.

 

Availability

The R package Mfuzz and Mfuzzgui are available at http://itb1.biologie.hu-berlin.de/~futschik/software/R/Mfuzz/index.html. Their distribution is subject to the GPL version 2 license.

 

Keywords

 

gene expression; soft clustering; software

Citation

Kumar & Futschik, Bioinformation 2(1): 5-7 (2007)

Edited by

P. Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.