Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis

10.1093/rheumatology/keac032

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Main Authors: Lim, Lee Jin, Lim, Ashley JW, BRANDON OOI NICK SERN, Tan, Justina Wei Lynn, Koh, Ee Tzun, Group, Ttsh Rheumatoid Arthritis Study, Chong, Samuel S, Khor, Chiea Chuen, Tucker-Kellogg, Lisa, Lee, Caroline G, Leong, Khai Pang
Other Authors: BIOCHEMISTRY
Format: Article
Language:English
Published: OXFORD UNIV PRESS 2022
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/226870
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2268702024-04-16T05:34:14Z Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis Lim, Lee Jin Lim, Ashley JW BRANDON OOI NICK SERN Tan, Justina Wei Lynn Koh, Ee Tzun Group, Ttsh Rheumatoid Arthritis Study Chong, Samuel S Khor, Chiea Chuen Tucker-Kellogg, Lisa Lee, Caroline G Leong, Khai Pang BIOCHEMISTRY NUS GRADUATE SCHOOL Science & Technology Life Sciences & Biomedicine Rheumatology rheumatoid arthritis methotrexate genetic polymorphism machine learning feature selection FUNCTIONAL ANNOTATION RHEUMATOLOGY/EUROPEAN LEAGUE AMERICAN-COLLEGE DISEASE-ACTIVITY SCORES PHARMACOGENETICS CLASSIFICATION COMBINATION SNPNEXUS CRITERIA 10.1093/rheumatology/keac032 RHEUMATOLOGY 2022-06-09T06:54:54Z 2022-06-09T06:54:54Z 2022-01-30 2022-06-07T07:19:11Z Article Lim, Lee Jin, Lim, Ashley JW, BRANDON OOI NICK SERN, Tan, Justina Wei Lynn, Koh, Ee Tzun, Group, Ttsh Rheumatoid Arthritis Study, Chong, Samuel S, Khor, Chiea Chuen, Tucker-Kellogg, Lisa, Lee, Caroline G, Leong, Khai Pang (2022-01-30). Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis. RHEUMATOLOGY. ScholarBank@NUS Repository. https://doi.org/10.1093/rheumatology/keac032 14620324 14620332 https://scholarbank.nus.edu.sg/handle/10635/226870 en OXFORD UNIV PRESS 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
Rheumatology
rheumatoid arthritis
methotrexate
genetic polymorphism
machine learning
feature selection
FUNCTIONAL ANNOTATION
RHEUMATOLOGY/EUROPEAN LEAGUE
AMERICAN-COLLEGE
DISEASE-ACTIVITY
SCORES
PHARMACOGENETICS
CLASSIFICATION
COMBINATION
SNPNEXUS
CRITERIA
spellingShingle Science & Technology
Life Sciences & Biomedicine
Rheumatology
rheumatoid arthritis
methotrexate
genetic polymorphism
machine learning
feature selection
FUNCTIONAL ANNOTATION
RHEUMATOLOGY/EUROPEAN LEAGUE
AMERICAN-COLLEGE
DISEASE-ACTIVITY
SCORES
PHARMACOGENETICS
CLASSIFICATION
COMBINATION
SNPNEXUS
CRITERIA
Lim, Lee Jin
Lim, Ashley JW
BRANDON OOI NICK SERN
Tan, Justina Wei Lynn
Koh, Ee Tzun
Group, Ttsh Rheumatoid Arthritis Study
Chong, Samuel S
Khor, Chiea Chuen
Tucker-Kellogg, Lisa
Lee, Caroline G
Leong, Khai Pang
Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis
description 10.1093/rheumatology/keac032
author2 BIOCHEMISTRY
author_facet BIOCHEMISTRY
Lim, Lee Jin
Lim, Ashley JW
BRANDON OOI NICK SERN
Tan, Justina Wei Lynn
Koh, Ee Tzun
Group, Ttsh Rheumatoid Arthritis Study
Chong, Samuel S
Khor, Chiea Chuen
Tucker-Kellogg, Lisa
Lee, Caroline G
Leong, Khai Pang
format Article
author Lim, Lee Jin
Lim, Ashley JW
BRANDON OOI NICK SERN
Tan, Justina Wei Lynn
Koh, Ee Tzun
Group, Ttsh Rheumatoid Arthritis Study
Chong, Samuel S
Khor, Chiea Chuen
Tucker-Kellogg, Lisa
Lee, Caroline G
Leong, Khai Pang
author_sort Lim, Lee Jin
title Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis
title_short Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis
title_full Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis
title_fullStr Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis
title_full_unstemmed Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis
title_sort machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis
publisher OXFORD UNIV PRESS
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/226870
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