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Artificial neural network identified the significant genes to distinguish Idiopathic pulmonary fibro...

Artificial neural network identified the significant genes to distinguish Idiopathic pulmonary fibro...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c50a12c7de0a48dd9a65669a2ac30ca2

Artificial neural network identified the significant genes to distinguish Idiopathic pulmonary fibrosis

About this item

Full title

Artificial neural network identified the significant genes to distinguish Idiopathic pulmonary fibrosis

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-01, Vol.13 (1), p.1225-1225, Article 1225

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease that causes irreversible damage to lung tissue characterized by excessive deposition of extracellular matrix (ECM) and remodeling of lung parenchyma. The current diagnosis of IPF is complex and usually completed by a multidisciplinary team including clinicians, radiologi...

Alternative Titles

Full title

Artificial neural network identified the significant genes to distinguish Idiopathic pulmonary fibrosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c50a12c7de0a48dd9a65669a2ac30ca2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c50a12c7de0a48dd9a65669a2ac30ca2

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-28536-w

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