Abstracts tagged "statistics and systemic sclerosis"

Abstract Number: 919 • 2018 ACR/ARHP Annual Meeting
A Machine Learning Classifier for Assigning Individual Patients with Systemic Sclerosis to Intrinsic Molecular Subsets
Jennifer Franks¹, Viktor Martyanov¹, Guoshuai Cai², Yue Wang³, Tammara A. Wood¹ and Michael L. Whitfield⁴, ¹Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, ²Environmental Health Sciences, Arnold School of Public Health at University of South Carolina, Columbia, SC, ³Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, ⁴Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH
Background/Purpose: High-throughput gene expression profiling of skin biopsies from patients with systemic sclerosis (SSc) has identified four “intrinsic” gene expression subsets conserved across multiple cohorts…

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Abstracts tagged "statistics and systemic sclerosis"

A Machine Learning Classifier for Assigning Individual Patients with Systemic Sclerosis to Intrinsic Molecular Subsets