Stochastic Models Inspired by Hybridization Theory for Short Oligonucleotide Arrays-Reference-Cited by-同舟云学术

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Stochastic Models Inspired by Hybridization Theory for Short Oligonucleotide Arrays

Published:2005-07 Issue:6 Volume:12 Page:882-893
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Wu Zhijin¹,Irizarry Rafael A.¹

Affiliation:

1. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205.

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.2005.12.882

Reference18 articles.

1. Analysis of Data From Viral DNA Microchips

2. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

3. A systematic statistical linear modeling approach to oligonucleotide array experiments

4. A benchmark for Affymetrix GeneChip expression measures

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