Integrative Multi-omics and machine learning analysis of sphingolipid-associated molecular stratification identifies diagnostic and prognostic signatures in idiopathic pulmonary fibrosis

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Publication Details

Journal
Orphanet Journal of Rare Diseases
Published
2026-08-25
DOI
https://doi.org/10.1186/s13023-026-04563-4
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
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article

Integrative Multi-omics and machine learning analysis of sphingolipid-associated molecular stratification identifies diagnostic and prognostic signatures in idiopathic pulmonary fibrosis

Liqing Yang, Xiaoshu Liu, Yi Liao, Lingjing Yang
Orphanet Journal of Rare Diseases
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
article

Integrative Multi-omics and machine learning analysis of sphingolipid-associated molecular stratification identifies diagnostic and prognostic signatures in idiopathic pulmonary fibrosis

Liqing Yang, Xiaoshu Liu, Yi Liao, Lingjing Yang
article en

Abstract

No abstract available for this paper.
Orphanet Journal of Rare Diseases
University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 11%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
DOIOpen Access PDFOpenAlex
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Integrative Multi-omics and machine learning analysis of sphingolipid-associated molecular stratification identifies diagnostic and prognostic signatures in idiopathic pulmonary fibrosis — Liqing Yang, Xiaoshu Liu, et al. · Orphanet Journal of Rare Diseases (2026) | TGRS Research Map | TGRS