Multi-resBind: a residual network-based multi-label classifier for in vivo RNA binding prediction and preference visualization

Background: Protein-RNA interactions play key roles in many processes regulating gene expression. To understand the underlying binding preference, ultraviolet cross-linking and immunoprecipitation (CLIP)-based methods have been used to identify the binding sites for hundreds of RNA-binding proteins...

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Bibliographic Details
Main Authors:	Hamada, M. (Author), Zhao, S. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	binding site Binding sites Binding Sites Classification (of information) Cross linking Deep learning Forecasting Gene expression genetics Immunoprecipitations Integrated gradient Integrated gradients In-vivo Large dataset metabolism Multi-label classification Network architecture Neural Networks, Computer Photoactivatable Photoactivatable ribonucleoside enhanced cross-linking and immunoprecipitation protein binding Protein Binding Proteins Residual network Ribonucleosides RNA RNA binding RNA binding protein RNA-binding protein RNA-Binding Proteins
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Multi-resBind: a residual network-based multi-label classifier for in vivo RNA binding prediction and preference visualization

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