Article
High dimensional model representation of log likelihood ratio: binary classification with SNP data.
BMC medical genomics - 21 Sept 2020
Pour Ali Foroughi, Pietrzak Maciej, Sucheston-Campbell Lara E, Karaesmen Ezgi, Dalton Lori A, Rempała Grzegorz A
Abstract excerpt
BACKGROUND: Developing binary classification rules based on SNP observations has been a major challenge for many modern bioinformatics applications, e.g., predicting risk of future disease events in complex conditions such as cancer. Small-sample, high-dimensional nature of SNP data, weak effect of each SNP on the outcome, and highly non-linear SNP interactions are several key factors complicating the analysis....
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