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Cross-Tissue Transcriptomic Analysis Leveraging Machine Learning Approaches Identifies New Biomarkers for Rheumatoid Arthritis

2020-07-26

Abstract excerpt

<h4>Background/Purpose</h4> There is an urgent need to identify effective biomarkers for early diagnosis of rheumatoid arthritis (RA) and to accurately monitor disease activity. Here we define an RA meta-profile using publicly available cross-tissue gene expression data and apply machine learning to identify putative biomarkers, which we further validate on independent datasets. <h4>Methods</h4> We carried out a...

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Literature Corpus work
a1c51dfc-6404-5e08-bff6-8bd58bfb552d
DOI
10.1101/2020.07.24.220483
Open publication

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