Efficient Hybrid-Robust Approach for Cancer Biomarker Discovery Using Omics Data

Efficient Hybrid-Robust Approach for Cancer Biomarker Discovery Using Omics Data

DNA Microarray datasets, also known as “omics” data, are important for the diagnosis of numerous diseases, including cancer and tumors. In the analysis of these data, feature selection techniques and classification algorithms are the workhorse for choosing candidate genes that...

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Bibliographic Details
Main Authors: Karima Sid, Soumia Zertal, Mohamed Batouche, Soumeya Zerabi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Biomarker discovery
microarray data
feature selection
classification
optimization algorithms
Markov blanket approximation
Online Access:https://ieeexplore.ieee.org/document/10935339/
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