Development of a literature informed Bayesian machine learning method for feature extraction and classification

BMC Bioinformatics

Poster Presentation

Ramin Homayouni¹  Lih Yuan Deng²  Behrouz Madahian² 

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

关键词: Receiver Operating Characteristic;    Machine Learning;    Classification Accuracy;    Prior Distribution;    Test Group;   

DOI  :  10.1186/1471-2105-16-S15-P9

来源: Springer

【 授权许可】

Unknown   
© Madahian et al. 2015. 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.