Multiomics-Based Feature Extraction and Selection for the Prediction of Lung Cancer Survival

Multiomics-Based Feature Extraction and Selection for the Prediction of Lung Cancer Survival

Lung cancer is a global health challenge, hindered by delayed diagnosis and the disease’s complex molecular landscape. Accurate patient survival prediction is critical, motivating the exploration of various -omics datasets using machine learning methods. Leveraging multi-omics data, this study seeks...

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Bibliographic Details
Main Authors: Roman Jaksik, Kamila Szumała, Khanh Ngoc Dinh, Jarosław Śmieja
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:International Journal of Molecular Sciences
Subjects:
multiomics data
feature selection
feature extraction
machine learning
next-generation sequencing
lung cancer
Online Access:https://www.mdpi.com/1422-0067/25/7/3661

Internet

https://www.mdpi.com/1422-0067/25/7/3661

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