On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data-Reference-Cited by-同舟云学术

On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data

Published:2001-02 Issue:1 Volume:8 Page:37-52
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Newton M.A.¹,Kendziorski C.M.²,Richmond C.S.³,Blattner F.R.³,Tsui K.W.⁴

Affiliation:

1. Department of Statistics, University of Wisconsin, Madison, WI 53792; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53792.

2. Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53792.

3. Laboratory of Genetics, University of Wisconsin, Madison, WI 53792.

4. Department of Statistics, University of Wisconsin, Madison, WI 53792.

Publisher

Mary Ann Liebert Inc

Subject

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

Link

http://www.liebertpub.com/doi/pdf/10.1089/106652701300099074

Reference17 articles.

1. Gene expression informatics —it's all in your mine

2. The Complete Genome Sequence of Escherichia coli K-12

3. Exploring the new world of the genome with DNA microarrays

4. Making and reading microarrays

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