Crossref journal-article
Oxford University Press (OUP)
Bioinformatics (286)
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.

Bibliography

Su, Y., Murali, T. M., Pavlovic, V., Schaffer, M., & Kasif, S. (2003). RankGene: identification of diagnostic genes based on expression data. Bioinformatics, 19(12), 1578–1579.

Authors 5
  1. Yang Su (first)
  2. T.M. Murali (additional)
  3. Vladimir Pavlovic (additional)
  4. Michael Schaffer (additional)
  5. Simon Kasif (additional)
References 0 Referenced 124

None

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)
Funders 0

None

@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} }