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...

Full description

Saved in:
Bibliographic Details
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:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Connect to this object online.

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available