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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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
Jezik:Inglês
Izdano: 2010
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Article
Online dostop: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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