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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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
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/226777
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spelling sg-nus-scholar.10635-2267772024-04-24T06:13:37Z Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients 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 DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) BIOCHEMISTRY PAEDIATRICS NUS GRADUATE SCHOOL 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 10.1016/j.ebiom.2021.103800 EBIOMEDICINE 75 2022-06-09T00:49:59Z 2022-06-09T00:49:59Z 2022-01-01 2022-06-07T06:35:00Z Article 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 (2022-01-01). Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients. EBIOMEDICINE 75. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ebiom.2021.103800 23523964 https://scholarbank.nus.edu.sg/handle/10635/226777 en ELSEVIER Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic 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
spellingShingle 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
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
Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients
description 10.1016/j.ebiom.2021.103800
author2 DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
author_facet DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
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
format Article
author 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
author_sort Lim, Ashley JW
title Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients
title_short Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients
title_full Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients
title_fullStr Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients
title_full_unstemmed Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients
title_sort functional coding haplotypes and machine-learning feature elimination identifies predictors of methotrexate response in rheumatoid arthritis patients
publisher ELSEVIER
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/226777
_version_ 1800915413053210624