RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma

RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma

Glioblastomas (GBM) are rapidly growing, aggressive, nearly uniformly fatal, and the most common primary type of brain cancer. They exhibit significant heterogeneity and resistance to treatment, limiting the ability to analyze dynamic biological behavior that drives response and resistance, which ar...

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Bibliographic Details
Main Authors: Erdal Tasci, Sarisha Jagasia, Ying Zhuge, Mary Sproull, Theresa Cooley Zgela, Megan Mackey, Kevin Camphausen, Andra Valentina Krauze
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Cancers
Subjects:
glioblastoma
radiation
proteomic
feature selection
machine learning
pattern recognition
Online Access:https://www.mdpi.com/2072-6694/15/10/2672

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