RNA-RBP interactions recognition using multi-label learning and feature attention allocation

RNA-RBP interactions recognition using multi-label learning and feature attention allocation

Abstract In this study, we present a sophisticated multi-label deep learning framework for the prediction of RNA-RBP (RNA-binding protein) interactions, a critical aspect in understanding RNA functionality modulation and its implications in disease pathogenesis. Our approach leverages machine learni...

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Bibliographic Details
Main Authors: Huirui Han, Bandeh Ali Talpur, Wei Liu, Limei Wang, Bilal Ahmed, Nadia Sarhan, Emad Mahrous Awwad
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
RNA-RBP interactions prediction
Multi-view deep learning
Multi-label learning
Online Access:https://doi.org/10.1186/s13677-024-00612-0

Internet

https://doi.org/10.1186/s13677-024-00612-0

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