Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data-Reference-Cited by-同舟云学术

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Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data

Published:2013-08 Issue:7 Volume:43 Page:933-941
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Cui Yan,Zheng Chun-Hou,Yang Jian,Sha Wen

Funder

National Science Fund for Distinguished Young Scholars

Key Project of Chinese Ministry of Education

National Natural Science Foundation of China

Key Project of Anhui Educational Committee

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference36 articles.

1. Gene selection using a two-level hierarchical Bayesian model;Bae;Bioinformatics,2004

2. Gene selection: a Bayesian variable selection approach;Lee;Bioinformatics,2003

3. Logistic regression for disease classification using microarray data: model selection in large p and small n case;Liao;Bioinformatics,2007

4. Gene selection using support vector machines with non-convex penalty;Zhang;Bioinformatics,2006

5. Comparison of discrimination methods for the classification of tumor using gene expression data;Dudoit;J. Am. Stat. Assoc.,2002

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