Evaluating Methods for Classifying Expression Data-Reference-Cited by-同舟云学术

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Evaluating Methods for Classifying Expression Data

Published:2004-12-31 Issue:4 Volume:14 Page:1065-1084
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Man Michael Z.¹²,Dyson Greg³,Johnson Kjell¹,Liao Birong⁴

Affiliation:

1. a Nonclinical Statistics , Pfizer Global Research and Development – Ann Arbor Laboratories , Ann Arbor, Michigan, USA

2. d Nonclinical Statistics , Pfizer Global Research and Development – Ann Arbor Laboratories , 2800 Plymouth Road, Ann Arbor, MI, 48105, USA

3. b Biostatistics , Allergan , Irvine, California, USA

4. c Department of Systems Biology , Lilly Research Laboratories , Indianapolis, Indiana, USA

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1081/BIP-200035491

Reference54 articles.

1. New Fast Algorithms for Error Rate-Based Stepwise Variable Selection in Discriminant Analysis

2. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

3. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

4. Variable Selection in Discriminant Partial Least-Squares Analysis

5. Selection bias in gene extraction on the basis of microarray gene-expression data

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