Machine learning applied to whole‐blood RNA‐sequencing data uncovers distinct subsets of patients with systemic lupus erythematosus

Machine learning applied to whole‐blood RNA‐sequencing data uncovers distinct subsets of patients with systemic lupus erythematosus

Abstract Objectives Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease that is difficult to treat. There is currently no optimal stratification of patients with SLE, and thus, responses to available treatments are unpredictable. Here, we developed a new stratification scheme fo...

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Bibliographic Details
Main Authors: William A Figgett, Katherine Monaghan, Milica Ng, Monther Alhamdoosh, Eugene Maraskovsky, Nicholas J Wilson, Alberta Y Hoi, Eric F Morand, Fabienne Mackay
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Clinical & Translational Immunology
Subjects:
autoimmunity
RNA‐seq
SLE
stratification
transcriptomics
Online Access:https://doi.org/10.1002/cti2.1093

Internet

https://doi.org/10.1002/cti2.1093

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