A robust clustering algorithm for identifying problematic samples in genome-wide association studies-Reference-Cited by-同舟云学术

A robust clustering algorithm for identifying problematic samples in genome-wide association studies

Published:2011-11-03 Issue:1 Volume:28 Page:134-135
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Bellenguez Céline¹,Strange Amy¹,Freeman Colin¹,Donnelly Peter¹¹,Spencer Chris C.A.¹,

Affiliation:

1. Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN and 2Department of Statistics, University of Oxford, 1 South Parks Road, Oxford OX1 3TG, UK

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/28/1/134/16902488/btr599.pdf

Reference4 articles.

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3. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis;The International Multiple Sclerosis Genetics Consortium & the WTCCC2;Nature,2011

4. Genome-wide association study of ulcerative colitis identifies three new susceptibility loci, including the HNF4A region;The UK IBD Genetics Consortium & the WTCCC2;Nat. Genet.,2009

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