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Single-cell and spatial multi-omics combined with machine learning to unravel the heterogeneity of cholangiocarcinoma and the WFDC3-mediated prognostic regulatory mechanisms.
Zhu Z, Jiang T, Liu Q, Zhang B, Wang G, Huang P, Liu Y, Hu D, Guo K

Single-cell and spatial multi-omics combined with machine learning to unravel the heterogeneity of cholangiocarcinoma and the WFDC3-mediated prognostic regulatory mechanisms.

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in Front Immunol.

Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Information

Document Title Single-cell and spatial multi-omics combined with machine learning to unravel the heterogeneity of cholangiocarcinoma and the WFDC3-mediated prognostic regulatory mechanisms.
Author / Organization Zhu Z, Jiang T, Liu Q, Zhang B, Wang G, Huang P, Liu Y, Hu D, Guo K
Subject & Discipline Front Immunol
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-54532
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »