Machine learning-based single-sample molecular classifier for cancer grading

Machine learning-based single-sample molecular classifier for cancer grading

Tumor subtyping based on morphological grade is used in cancer treatment and management decision-making and to determine a patient’s prognosis. While low- and high-grade tumors are predictive of patient survival for many cancers, tumors of intermediate morphological grades are considered unreliable...

Full description

Saved in:
Bibliographic Details
Main Authors: Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
molecular grade
gene expression
tumor grade
tumor cell differentiation
risk assessment
cancer diagnostics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1617898/full
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2025.1617898/full

Similar Items