Power enhancement via multivariate outlier testing with gene expression arrays-Reference-Cited by-同舟云学术

Power enhancement via multivariate outlier testing with gene expression arrays

Published:2008-11-16 Issue:1 Volume:25 Page:48-53
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:Bioinformatics

Author:

Asare A. L.,Gao Z.,Carey V. J.,Wang R.,Seyfert-Margolis V.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/25/1/48/862519/btn591.pdf

Reference12 articles.

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

2. Sequential Application of Wilks's Multivariate Outlier Test

3. MDQC: a new quality assessment method for microarrays based on quality control reports

4. lumi: a pipeline for processing Illumina microarray

5. Power and sample size estimation in high dimensional biology

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