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
| |
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 |
| |
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.
|