Integrative Multi-omics and machine learning analysis of sphingolipid-associated molecular stratification identifies diagnostic and prognostic signatures in idiopathic pulmonary fibrosis.
Journal: Orphanet journal of rare diseases
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How to Cite this Article
Liao Y, Yang L, Liu X, et al. (2026). "Integrative Multi-omics and machine learning analysis of sphingolipid-associated molecular stratification identifies diagnostic and prognostic signatures in idiopathic pulmonary fibrosis.". Orphanet journal of rare diseases. https://doi.org/10.1186/s13023-026-04563-4