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

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

10.1016/j.ebiom.2021.103800

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Bibliographic Details
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
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Institution:	National University of Singapore
Language:	English

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Summary:	10.1016/j.ebiom.2021.103800