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

Internet

https://scholarbank.nus.edu.sg/handle/10635/226777

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