An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions

Motivation: In both genome-wide association studies (GWAS) and pathway analysis, the modest sample size relative to the number of genetic markers presents formidable computational, statistical and methodological challenges for accurately identifying markers/interactions and for building phenotype-pr...

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Hlavní autoři: Miller, David J., Zhang, Yanxin, Yu, Guoqiang, Liu, Yongmei, Chen, Li, Langefeld, Carl D., Herrington, David, Wang, Yue
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2009
Témata:
Original Papers
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3140808/
https://ncbi.nlm.nih.gov/pubmed/19608708
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp435
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