Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme

Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme

Abstract Background Glioblastoma multiforme (GBM) is a highly aggressive brain cancer with poor prognosis and limited treatment options. Despite advances in understanding its molecular mechanisms, effective therapeutic strategies remain elusive due to the tumor’s genetic complexity and heterogeneity...

Full description

Saved in:
Bibliographic Details
Main Authors: Lixin Du, Pan Wang, Xiaoting Qiu, Zhigang Li, Jianlan Ma, Pengfei Chen
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Oncology
Subjects:
Glioblastoma multiforme
Machine learning
Mendelian randomization
Gene co-expression analysis
Online Access:https://doi.org/10.1007/s12672-025-01792-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items