Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers.

Discovery of unique and redundant gene signatures for subgroups in IPF can be greatly facilitated through unsupervised clustering. Findings derived from such gene signatures may provide insights into pathogenesis of IPF and facilitate the development of clinically useful biomarkers.