Abstract
Abstract 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@bu.edu * To whom correspondence should be addressed.
Dates
Type | When |
---|---|
Created | 22 years ago (Aug. 11, 2003, 2:07 p.m.) |
Deposited | 2 years, 7 months ago (Jan. 25, 2023, 12:27 p.m.) |
Indexed | 4 months ago (April 19, 2025, 6:09 a.m.) |
Issued | 22 years ago (Aug. 12, 2003) |
Published | 22 years ago (Aug. 12, 2003) |
Published Online | 22 years ago (Aug. 12, 2003) |
Published Print | 22 years ago (Aug. 12, 2003) |
@article{Su_2003, title={RankGene: identification of diagnostic genes based on expression data}, volume={19}, ISSN={1367-4803}, url={http://dx.doi.org/10.1093/bioinformatics/btg179}, DOI={10.1093/bioinformatics/btg179}, number={12}, journal={Bioinformatics}, publisher={Oxford University Press (OUP)}, author={Su, Yang and Murali, T.M. and Pavlovic, Vladimir and Schaffer, Michael and Kasif, Simon}, year={2003}, month=aug, pages={1578–1579} }