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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OXFORD UNIV PRESS
2022
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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 |
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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 |
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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 |
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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 |
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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 |
_version_ |
1800915423104860160 |