A Bayesian Network Classification Methodology for Gene Expression Data-Reference-Cited by-同舟云学术

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A Bayesian Network Classification Methodology for Gene Expression Data

Published:2004-08 Issue:4 Volume:11 Page:581-615
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Helman Paul¹,Veroff Robert¹,Atlas Susan R.²,Willman Cheryl³

Affiliation:

1. Computer Science Department, University of New Mexico, Albuquerque, NM 87131.

2. Department of Physics and Astronomy and Center for Advanced Studies, University of New Mexico, Albuquerque, NM 87131.

3. Department of Pathology and UNM Cancer Research and Treatment Center, UNM School of Medicine, University of New Mexico, Albuquerque, NM 87131.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2004.11.581

Reference74 articles.

1. Variable selection and pattern recognition with gene expression data generated by the microarray technology

2. Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring

3. Prediction of Treatment Response Using Gene Expression Profiles

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