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

2019-05-24

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> 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 for patients with SLE, based on the whole-blood transcriptomes of patients with SLE. <h4>Methods</h4>...

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Literature Corpus work
3dde2c28-7ba5-5112-a946-c58e882ef26c
DOI
10.1101/647719
Open publication

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Machine learning applied to whole-blood RNA-sequencing data uncovers distinct subsets of patients with systemic lupus erythematosusDOI 10.1101/647719
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