Stability of Feature Selection in Multi-Omics Data Analysis

Stability of Feature Selection in Multi-Omics Data Analysis

In the rapidly evolving field of multi-omics data analysis, understanding the stability of feature selection is critical for reliable biomarker discovery and clinical applications. This study investigates the stability of feature-selection methods across various cancer types by utilizing 15 datasets...

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Bibliographic Details
Main Authors: Tomasz Łukaszuk, Jerzy Krawczuk, Kamil Żyła, Jacek Kęsik
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
multi-omics
high-dimensional data
cancer genomics
feature selection
stability
L1 regularization
Online Access:https://www.mdpi.com/2076-3417/14/23/11103
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