Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers

doi:10.1186/s12890-017-0472-9

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers

20 Oct 2017

Abstract excerpt

BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) is a fatal fibrotic lung disease occurring predominantly in middle-aged and older adults. The traditional diagnostic classification of IPF is based on clinical, radiological, and histopathological features. However, the considerable heterogeneity in IPF presentation suggests that differences in gene expression profiles can help to characterize and distinguish...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chronic Obstructive Pulmonary Disease (COPD) Research
Share to Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Share to Systemic Sclerosis and Related Diseases

Source

Open in PubMed

Identifiers

PMID: 29058630
DOI: 10.1186/s12890-017-0472-9

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics