Title

GEDAS – 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

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 Lab’s 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 Kohonen’s 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.