Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients.

Abstract excerpt

BACKGROUND: Major challenges in large scale genetic association studies include not only the identification of causative single nucleotide polymorphisms (SNPs), but also accounting for SNP-SNP interactions. This study thus proposes a novel feature engineering approach integrating potentially functional coding haplotypes (pfcHap) with machine-learning (ML) feature selection to identify biologically meaningful,...

Topics

• Antirheumatic Agents
• Arthritis, Rheumatoid
• Haplotypes
• Humans
• Machine Learning
• Methotrexate
• Polymorphism, Single Nucleotide