A Hybrid Sequential Feature Selection Approach for Identifying New Potential mRNA Biomarkers for Usher Syndrome Using Machine Learning

A Hybrid Sequential Feature Selection Approach for Identifying New Potential mRNA Biomarkers for Usher Syndrome Using Machine Learning

Usher syndrome, a rare genetic disorder causing both hearing and vision loss, presents significant diagnostic and therapeutic challenges due to its complex genetic basis. The identification of reliable biomarkers for early detection and intervention is crucial for improving patient outcomes. In this...

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Bibliographic Details
Main Authors: Rama Krishna Thelagathoti, Wesley A. Tom, Dinesh S. Chandel, Chao Jiang, Gary Krzyzanowski, Appolinaire Olou, M. Rohan Fernando
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Biomolecules
Subjects:
hybrid feature selection
machine learning
Usher syndrome
mRNA
biomarker detection
feature selection
Online Access:https://www.mdpi.com/2218-273X/15/7/963
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