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

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

Abstract 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 p...

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Bibliographic Details
Main Authors: Shitao Zhao, Michiaki Hamada
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Bioinformatics
Subjects:
RNA-binding protein
Residual network
Multi-label classification
Integrated gradients
Photoactivatable ribonucleoside enhanced cross-linking and immunoprecipitation
Online Access:https://doi.org/10.1186/s12859-021-04430-y

Internet

https://doi.org/10.1186/s12859-021-04430-y

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