Abstract:1Treatment of patients with rheumatoid arthritis (RA) is challenging due to clinical heterogeneity 2 and variability. Integration of RA synovial genome-scale transcriptomic profiling of different 3 patient cohorts can provide insights on the causal basis of drug responses. A normalized 4 compendium was built that consists of 256 RA synovial samples that cover an intersection of 5 11,769 genes from 11 datasets. Differentially expression genes (DEGs) that were identified in 6 three independent methods were fed i… Show more
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