Unlocking The Potential of Hybrid Models for Prognostic Biomarker Discovery in Oral Cancer Survival Analysis: A Retrospective Cohort Study

Unlocking The Potential of Hybrid Models for Prognostic Biomarker Discovery in Oral Cancer Survival Analysis: A Retrospective Cohort Study

Objective: This study aimed to develop a hybrid model for variable selection in high-dimensional survival analysis using a support vector regression (SVR), to identify prognostic biomarkers associated with survival in oral cancer (OC) patients through the analysis of gene expression data.Materials a...

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Bibliographic Details
Main Authors: Leila Nezamabadi Farahani, Anoshirvan Kazemnejad, Mahlagha Afrasiabi, Leili Tapak
Format: Article
Language:English
Published: Royan Institute (ACECR), Tehran 2024-12-01
Series:Cell Journal
Subjects:
feature selection
gene expression
genetic algorithm
mouth neoplasms
particle swarm optimization
Online Access:https://www.celljournal.org/article_724800_d41d8cd98f00b204e9800998ecf8427e.pdf
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