Supervised machine learning and logistic regression identifies novel epistatic risk factors with PTPN22 for rheumatoid arthritis

Investigating genetic interactions (epistasis) has proven difficult despite the recent advances of both laboratory methods and statistical developments. With no ‘best’ statistical approach available, combining several analytical methods may be optimal for detecting epistatic interactions. Using a mu...

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Bibliographic Details
Main Authors:	Briggs, FBS, Ramsay, PP, Madden, E, Norris, JM, Holers, VM, Mikuls, TR, Sokka, T, Seldin, MF, Gregersen, PK, Criswell, LA, Barcellos, LF
Format:	Artigo
Language:	Inglês
Published:	2010
Subjects:	Article
Online Access:	https://ncbi.nlm.nih.gov/pmc/articles/PMC3118040/ https://ncbi.nlm.nih.gov/pubmed/20090771 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/gene.2009.110
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Supervised machine learning and logistic regression identifies novel epistatic risk factors with PTPN22 for rheumatoid arthritis

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