GEDAS - Gene Expression Data Analysis Suite

Overview

Journal Bioinformation

Specialty Biology

Date 2007 Jun 29

PMID 17597861

Citations 2

Authors

Tangirala Venkateswara Prasad

Ravindra Pentela Babu

Syed Ismail Ahson

Affiliations

Soon will be listed here.

Abstract

Unlabelled: 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 Tree View 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.

Citing Articles

On triangle inequalities of correlation-based distances for gene expression profiles.

Chen J, Ng Y, Lin L, Zhang X, Li S BMC Bioinformatics. 2023; 24(1):40.

PMID: 36755234 PMC: 9906874. DOI: 10.1186/s12859-023-05161-y.

Visualization of microarray gene expression data.

Prasad T, Ahson S Bioinformation. 2007; 1(4):141-5.

PMID: 17597876 PMC: 1891671. DOI: 10.6026/97320630001141.

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