Familial and sporadic idiopathic pulmonary fibrosis: making the diagnosis from peripheral blood.

ABSTRACT:

Background

Peripheral blood biomarkers might improve diagnostic accuracy for idiopathic pulmonary fibrosis (IPF).

Results

Gene expression profiles were obtained from 89 patients with IPF and 26 normal controls. Samples were stratified according to severity of disease based on pulmonary function. The stratified dataset was split into subsets; two-thirds of the samples were selected to comprise the training set, while one-third was reserved for the validation set. Bayesian probit regression was used on the training set to develop a gene expression model for IPF versus normal. The gene expression model was tested by using it on the validation set to perform class prediction. Unsupervised clustering failed to discriminate between samples of different severity. Therefore, samples

SUBMITTER: Meltzer EB 

PROVIDER: S-EPMC4288625 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature