Skip Navigation

This Article
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow FREE Full Text (Screen PDF)
Right arrow Supplementary data
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (37)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Su, Y.
Right arrow Articles by Kasif, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Su, Y.
Right arrow Articles by Kasif, S.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Bioinformatics Vol. 19 no. 12 2003
Pages 1578-1579
© 2003 Oxford University Press

Applications Note

RankGene: identification of diagnostic genes based on expression data

Yang Su 1, T.M. Murali 1,*, Vladimir Pavlovic 2, Michael Schaffer 1 and Simon Kasif 1,3

1 Bioinformatics Program, Boston University, Boston, MA 02215
2 Department of Computer Science, Rutgers University Piscataway, NJ 08854
3 Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA

Received on September 5, 2002 ; revised on December 13, 2002 ; accepted on January 10, 2003

Summary: RankGene is a program for analyzing gene expression data and computing diagnostic genes based on their predictive power in distinguishing between different types of samples. The program integrates into one system a variety of popular ranking criteria, ranging from the traditional t-statistic to one-dimensional support vector machines. This flexibility makes RankGene a useful tool in gene expression analysis and feature selection.

Availability: http://genomics10.bu.edu/yangsu/rankgene

Contact: murali{at}bu.edu

* To whom correspondence should be addressed.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Brief BioinformHome page
B. Duval and J.-K. Hao
Advances in metaheuristics for gene selection and classification of microarray data
Brief Bioinform, January 1, 2010; 11(1): 127 - 141.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
M. Draminski, A. Rada-Iglesias, S. Enroth, C. Wadelius, J. Koronacki, and J. Komorowski
Monte Carlo feature selection for supervised classification
Bioinformatics, January 1, 2008; 24(1): 110 - 117.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
L. J. Buturovic
PCP: a program for supervised classification of gene expression profiles
Bioinformatics, January 15, 2006; 22(2): 245 - 247.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
C.-J. Wu and S. Kasif
GEMS: a web server for biclustering analysis of expression data
Nucleic Acids Res., July 1, 2005; 33(suppl_2): W596 - W599.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
Y. Wang, F. S. Makedon, J. C. Ford, and J. Pearlman
HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data
Bioinformatics, April 15, 2005; 21(8): 1530 - 1537.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
X. Li, S. Rao, Y. Wang, and B. Gong
Gene mining: a novel and powerful ensemble decision approach to hunting for disease genes using microarray expression profiling
Nucleic Acids Res., May 17, 2004; 32(9): 2685 - 2694.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.