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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 2, 2010
The reference human genome demonstrates high risk of type 1 diabetes and other disordersRong Chen, Atul J ButtePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
DO CANCER CLINICAL TRIAL POPULATIONS TRULY REPRESENT CANCER PATIENTS? A COMPARISON OF OPEN CLINICAL TRIALS TO THE CANCER GENOME ATLASNophar Geifman, Atul J ButteNature Biotechnology|January 13, 2006
Creation and implications of a phenome-genome networkAtul J Butte, Isaac S KohaneFrontiers in Pharmacology|January 30, 2023
Advancing evidence-based treatment of infectious diseases in children with real-world data: Opportunities and challengesKendra K Radtke, Atul J ButteBMC Medical Genomics|May 13, 2010
Predicting environmental chemical factors associated with disease-related gene expression dataChirag J Patel, Atul J ButteBioinformatics (Oxford, England)|October 9, 2007
Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genesSangeeta B English, Atul J ButtePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 13, 2009
Identification of discriminating biomarkers for human disease using integrative network biologyJoel T Dudley, Atul J ButteAMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|December 5, 2013
Database integration of 4923 publicly-available samples of breast cancer molecular and clinical dataCatherine R Planey, Atul J ButteThe Journal of Clinical Investigation|February 4, 2020
Opportunities and challenges in using real-world data for health careVivek A Rudrapatna, Atul J ButteFrontiers in Immunology|January 20, 2022
Application of Machine Learning for Cytometry DataZicheng Hu, Sanchita Bhattacharya, Atul J ButtePageof 34