Novel approaches to gene expression analysis of active polyarticular juvenile rheumatoid arthritis.

ABSTRACT: Juvenile rheumatoid arthritis (JRA) has a complex, poorly characterized pathophysiology. Modeling of transcriptosome behavior in pathologic specimens using microarrays allows molecular dissection of complex autoimmune diseases. However, conventional analyses rely on identifying statistically significant differences in gene expression distributions between patients and controls. Since the principal aspects of disease pathophysiology vary significantly among patients, these analyses are biased. Genes with highly variable expression, those most likely to regulate and affect pathologic processes, are excluded from selection, as their distribution among healthy and affected individuals may overlap significantly. Here we describe a novel method for analyzing microarray data that assesses statist

SUBMITTER: Jarvis JN 

PROVIDER: S-EPMC400410 | biostudies-literature | 2004

REPOSITORIES: biostudies-literature