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Title

GEDAS Ė Gene Expression Data Analysis Suite

 

Authors

Tangirala Venkateswara  Prasad 1*, Ravindra Pentela Babu2, Syed Ismail Ahson3

 

Affiliation

Department of Computer Science, Jamia Millia Islamia University, New Delhi 110 025 India;  Trisoft Systems Pvt. Ltd., 55 Community Centre, East of Kailash, New Delhi 110 065 India; Department of Computer Science, Jamia Millia Islamia University, New Delhi 110 025 India

 

E-mail*

tvprasad2002@yahoo.com; * Corresponding author

 

Article Type

 

Software

 

Date

 

received January 16, 2006; revised January 26, 2006; accepted January 26, 2006; published online January 26, 2006

 

Abstract

 

Currently available micro-array gene expression data analysis tools lack standardization at various levels. We developed GEDAS (gene expression data analysis suite) to bring various tools and techniques in one system. It also provides a number of other features such as a large collection of distance measures and pre-processing techniques. The software is an extension of Cluster 3.0 (developed based on Eisen Labís Cluster and TreeView software). GEDAS allows the usage of different datasets with algorithms such as k-means, HC, SVD/PCA and SVM, in addition to Kohonenís SOM and LVQ. 

 

Availability

 

http://gedas.bizhat.com/gedas.htm

 

Keywords

 

gene expression; standardization; GEDAS; cluster; software

 

Citation

 

Prasad et al., Bioinformation 1(3): 83-85, (2006)

 

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.