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PLOD3 as a novel oncogene in prognostic and immune infiltration risk model based on multi-machine le...

PLOD3 as a novel oncogene in prognostic and immune infiltration risk model based on multi-machine le...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8e1359bfe05e420aa406d7133e693df0

PLOD3 as a novel oncogene in prognostic and immune infiltration risk model based on multi-machine learning in cervical cancer

About this item

Full title

PLOD3 as a novel oncogene in prognostic and immune infiltration risk model based on multi-machine learning in cervical cancer

Publisher

New York: Springer US

Journal title

Discover. Oncology, 2025-03, Vol.16 (1), p.294-16, Article 294

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Cervical carcinoma (CC) remains a significant global health issue despite advancements in screening and treatment. To improve prognostic accuracy and therapeutic strategies, we developed a multi-machine learning prognostic model based on metabolic-associated genes. This study integrated genomic, transcriptomic, and spatial data from multiple databa...

Alternative Titles

Full title

PLOD3 as a novel oncogene in prognostic and immune infiltration risk model based on multi-machine learning in cervical cancer

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8e1359bfe05e420aa406d7133e693df0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8e1359bfe05e420aa406d7133e693df0

Other Identifiers

ISSN

2730-6011

E-ISSN

2730-6011

DOI

10.1007/s12672-025-02031-2

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