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POCRE
28 Sep 2010 | Tools | Contributor(s): Min Zhang, Dabao Zhang, Yanzhu Lin, Guoheng Chen
POCRE is a penalized orthogonal-components regression for large p (number of SNPs) and small n (number of individuals).
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Penalized orthogonal-components regression for large p small n data
03 Mar 2010 | Publications | Contributor(s): Min Zhang, Dabao Zhang
Here we propose a penalized orthogonal-components regression (POCRE) for large p small n data. Orthogonal components are sequentially constructed to maximize, upon standardization, their correlation to the re-sponse residuals. A new penalization framework, implemented via empirical Bayes …
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Simultaneous genome-wide association studies of anti-cyclic citrullinated peptide in rheumatoid arthritis using penalized orthogonal-components regression
03 Mar 2010 | Publications | Contributor(s): Min Zhang, Dabao Zhang
Genome-wide associations between single-nucleotide polymorphisms and clinical traits were simultaneously conducted using penalized orthogonal-components regression. This method was developed to identify the genetic variants controlling phenotypes from a massive number of candidate variants. By …
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Case-control genome-wide association study of rheumatoid arthritis from Genetic Analysis Workshop 16 using penalized orthogonal-components regression-linear discriminant analysis
03 Mar 2010 | Publications | Contributor(s): Dabao Zhang, Min Zhang
Currently, genome-wide association studies (GWAS) are conducted by collecting a massive number of SNPs (i.e., large p) for a relatively small number of individuals (i.e., small n) and associations are made between clinical phenotypes and genetic variation one single-nucleotide polymorphism (SNP) at …
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GCxGC-MS Data Classification and Alignment
11 Jun 2008 | Tools | Contributor(s): Dabao Zhang, Min Zhang, Jason Catlin
Align and classify GCxGC-MS data
