Bayesian probit regression model for the diagnosis of pulmonary fibrosis: proof-of-principle

• Main Authors: Morrison Lake D (Author), Onaitis Mark W (Author), Lin Shu S (Author), Davis Robert D (Author), D'Amico Thomas A (Author), Barry William T (Author), Meltzer Eric B (Author), Sporn Thomas A (Author), Steele Mark P (Author), Noble Paul W (Author)
• Format: Book
• Published: BMC, 2011-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

<p>Abstract</p> <p>Background</p> <p>The accurate diagnosis of idiopathic pulmonary fibrosis (IPF) is a major clinical challenge. We developed a model to diagnose IPF by applying Bayesian probit regression (BPR) modelling to gene expression profiles of whole lung tissue...