Development of sparse Bayesian multinomial generalized linear model for multi-class prediction

BMC Bioinformatics

Poster Presentation

Ramin Homayouni¹  Lih Y Deng²  Behrouz Madahian² 

[1] Bioinformatics Program, University of Memphis, 38152, Memphis, TN, USA;Department of Biology, University of Memphis, 38152, Memphis, TN, USA;Department of Mathematical Sciences, University of Memphis, 38152, Memphis, TN, USA;

关键词: Prostate Cancer;    Support Vector Machine;    Classification Accuracy;    Test Group;    Training Group;   

DOI  :  10.1186/1471-2105-15-S10-P14

来源: Springer

【 授权许可】

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© Madahian et al; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.