Transcription of Functional coding haplotypes and machine-learning feature ...
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Functional coding haplotypes and machine-learning feature ...
Functional coding haplotypes and machine-learningfeature elimination identifies predictors ofMethotrexate Response in rheumatoid ArthritispatientsAshley Lim,a,yLee Jin Lim,a,yBrandon Ooi,aEe Tzun Koh,bJustina Wei Lynn Tan,bTTSH RA Study GroupbSamuel S. Chong,cChiea Chuen Khor,dLisa Tucker-Kellogg,eKhai Pang Leong,b,f,#**and Caroline G. Lee,a,g,h,i*,#aDept of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, SingaporebDepartment of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, SingaporecDept of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, SingaporedDivision of Human Genetics, Genome Institute of Singapore, SingaporeeCentre for Computational Biology, and Cancer and Stem Cell Biology, Duke-NUS Medical School, SingaporefClinical Research & Innovation Office, Tan Tock Seng Hospital, SingaporegDiv of Cellular & Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore,SingaporehDuke-NUS Medical School, SingaporeiNUS Graduate School, National University of Singapore.
response in rheumatoid arthritis (RA) patients. Methods Exome sequencing from 349 RA patients were analysed, of which they were split into training and unseen test set. Inferred pfcHaps were combined with 30 non-genetic features to undergo ML recursive feature elimination with cross-validation using the training set.
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