GEO DataSets

(Submitter supplied) Discrimination of rheumatoid arthritis (RA) patients from patients with other inflammatory/degenerative joint diseases or healthy individuals purely on the basis of genes differentially expressed in high-throughput data has proven very difficult. Thus, the present study sought to achieve such discrimination by employing a novel unbiased approach using rule-based classifiers. Three multi-center genome-wide transcriptomic data sets (Affymetrix HG- U133 A/B) from a total of 79 individuals, including 20 healthy controls (control group - CG), as well as 26 osteoarthritis (OA) and 33 RA patients, were used to infer rule- based classifiers to discriminate the disease groups. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS5402

Platform:

GPL96

16 Samples

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Analysis of synovial tissues from patients with rheumatoid arthritis or osteoarthritis. Results used to generate rule-based classifiers to distinguish patients with rheumatoid arthritis from those with osteoarthritis.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state sets

Platform:

GPL96

Series:

GSE55584

16 Samples

Download data: CEL

(Submitter supplied) Affymetrix submissions are typically submitted to GEO using the GEOarchive method described at http://www.ncbi.nlm.nih.gov/projects/geo/info/geo_affy.html June 03, 2009: annotation table updated with netaffx build 28 June 08, 2012: annotation table updated with netaffx build 32 June 24, 2016: annotation table updated with netaffx build 35 Protocol: see manufacturer's web site The U133 set includes 2 arrays with a total of 44928 entries and was indexed 29-Jan-2002. more...

Organism:

Homo sapiens

364 DataSets

1125 Series

11 Related Platforms

42429 Samples

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