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

• Main Authors: Lim, Ashley JW, Lim, Lee Jin, Ooi, Brandon NS, Koh, Ee Tzun, Tan, Justina Wei Lynn, Chong, Samuel S, Khor, Chiea Chuen, Tucker-Kellogg, Lisa, Leong, Khai Pang, Lee, Caroline G
• Other Authors: DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
• Format: Article
• Language: English
• Published: ELSEVIER 2022
• Subjects: Science & Technology; Life Sciences & Biomedicine; Medicine, General & Internal; Medicine, Research & Experimental; General & Internal Medicine; Research & Experimental Medicine; Rheumatoid Arthritis; Methotrexate; Genetic polymorphism; Machine learning; Feature selection; Haplotypes; WHOLE-GENOME ASSOCIATION; QUALITY-OF-LIFE; PHYSICAL FUNCTION; DISEASE-ACTIVITY; WORK DISABILITY; CLASSIFICATION; SELECTION; SENSITIVITY; MANAGEMENT; DURATION
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/226777
• Institution: National University of Singapore

10.1016/j.ebiom.2021.103800