|
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, Charité, Humboldt-University, Invalidenstra ße 43, 10115 Berlin, Germany; 2Department of Systems Biology, Keio University, Yamagata 997-0035, Japan; 3Department of Biotechnology, Indian Institute of Technology, Guwahati - 781039, India
|
|
|
|
|
|
|
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. |