Machine learning-based microarray analyses indicate low-expression genes might collectively influence PAH disease
PAH is a serious progressive disease, with only a roughly 50% of 5-year survival rate. Accurately detecting/differentiating different forms of PAH and developing drugs that could directly target at genes involved in PAH pathogenesis are essential. Cui et al. proposed a computational approach using low-cost microarray data collected from a clinical trial and had accurately predicted each PAH group.
Image credit: Cui et al, pcbi.1007264.