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Visualization of microarray gene expression data BACK TO CONTENTS PDF PREVIOUS
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Title

 

Visualization of microarray gene expression data

 

Authors

 

Tangirala Venkateswara Prasad and Syed Ismail Ahson

 

Affiliation

 

Department of Computer Science, Jamia Millia Islamia University, Jamia Nagar, New Delhi 110 025, India
 

E-mail*

 

tvprasad2002@yahoo.com; * Corresponding author

 

Article Type

 

Views & Challenges

 

Date

 

received January 1, 2006; revised April 16, 2006; accepted April 28, 2006; published online May 03, 2006

 

Abstract

 

Microarray gene expression data is used in various biological and medical investigations. Processing of gene expression data requires algorithms in data mining, process automation and knowledge discovery. Available data mining algorithms exploits various visualization techniques. Here, we describe the merits and demerits of various visualization parameters used in gene expression analysis.

 

Keywords

 

 

Bioinformatics; visualization; microarray gene expression data; data mining

 

Citation

 

Prasad & Ahson, Bioinformation 1(4): 141-145 (2006)

 

Edited by

 

P. Kangueane

 

ISSN

 

0973-2063

 

Publisher

 

Biomedical Informatics

 

Copyright

 

Publisher

 

Copyright Transfer Agreement

 

The authors of published articles in Bioinformation automatically transfer the copyright to the publisher upon formal acceptance. However, the authors reserve right to use the information contained in the article for non commercial purposes.

 

License

 

This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.