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

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

<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...

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Bibliographic Details
Main Authors: Morrison Lake D, Onaitis Mark W, Lin Shu S, Davis Robert D, D'Amico Thomas A, Barry William T, Meltzer Eric B, Sporn Thomas A, Steele Mark P, Noble Paul W
Format: Article
Language:English
Published: BMC 2011-10-01
Series:BMC Medical Genomics
Online Access:http://www.biomedcentral.com/1755-8794/4/70

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http://www.biomedcentral.com/1755-8794/4/70

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