Ontology highlight
ABSTRACT:
SUBMITTER: Rychkov D
PROVIDER: S-EPMC8223752 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Rychkov Dmitry D Neely Jessica J Oskotsky Tomiko T Yu Steven S Perlmutter Noah N Nititham Joanne J Carvidi Alexander A Krueger Melissa M Gross Andrew A Criswell Lindsey A LA Ashouri Judith F JF Sirota Marina M
Frontiers in immunology 20210608
There is an urgent need to identify biomarkers for diagnosis and disease activity monitoring in rheumatoid arthritis (RA). We leveraged publicly available microarray gene expression data in the NCBI GEO database for whole blood (N=1,885) and synovial (N=284) tissues from RA patients and healthy controls. We developed a robust machine learning feature selection pipeline with validation on five independent datasets culminating in 13 genes: <i>TNFAIP6</i>, <i>S100A8</i>, <i>TNFSF10</i>, <i>DRAM1</i ...[more]