• Institution: LOCKSS
LOCKSS

Prediction of Disease Severity in Patients with Early Rheumatoid Arthritis by Gene Expression Profiling

(Downloading may take up to 30 seconds. If the slide opens in your browser, select File -> Save As to save it.)

Click on image to view larger version.

Figure 4
Figure 4

Hierarchical classification of an independent established RA cohort using the 19-gene expression profile. (a) Support tree hierarchical clustering was applied to the expression profile of the 19-predictor genes in 9 RA patients. Jackknife resampling was used with 500 permutations. The color codes correspond to a given level of support. Branch 1 and 2 are significantly separated according to their disease severity. (P = .008, Fisher's Exact Test). (b) The original expression data without normalization in the severe and mild groups for the 19-predictor genes in 9 RA patients. Note that standard deviations are not shown because the t statistic was calculated based upon permutations. Black bars represent the severe group and white bars represent the mild group.

This Article

  1. Hum Genomics Proteomics vol. 1 no. 1