Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data

BMC Bioinformatics

Poster Presentation

Pablo Moscato¹  Gary L Rogers²  Michael A Langston² 

[1] Department of Electrical Engineering and Computer Science, University of Newcastle, NSW, Australia;Department of Electrical Engineering and Computer Science, University of Tennessee, 37996, Knoxville, TN, USA;

关键词: Prostate Cancer;    Gene Product;    Machine Learning;    Real Data;    High Throughput;   

DOI  :  10.1186/1471-2105-11-S4-P21

来源: Springer

【 授权许可】

CC BY   
© Rogers et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd.