Machine learning constructs a T cell-related signature for predicting prognosis and drug sensitivity in ovarian cancer.

Publication Year: 2024

DOI:
10.18632/aging.205536

PMCID:
PMC10929824

PMID:
38345575

Journal Information

Full Title: Aging (Albany NY)

Abbreviation: Aging (Albany NY)

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Geriatrics

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"CONFLICTS OF INTEREST: The authors declare no conflicts of interest related to this study."

Evidence found in paper:

"FUNDING: This study was funded by the 2022 Liaoning Province Applied Basic Research Program (Joint Program): Mechanism and Clinical Application Research of Targeted MCM4 Therapy for Endometrial Cancer Based on Molecular Docking Technology (2022JH2/101500019)."

Protocol Registration
Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025