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...
Saved in:
Main Authors: | Shitao Zhao, Michiaki Hamada |
---|---|
Format: | article |
Language: | EN |
Published: |
BMC
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/ea3391ee6b744fe68c495de855c6b42c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recognition of RNA-Binding Protein by Fusion of Multi-view and Multi-label Learning
by: YANG Haitao, DENG Zhaohong, WANG Shitong
Published: (2021) -
Two Tau binding sites on tubulin revealed by thiol-disulfide exchanges
by: Marlène Martinho, et al.
Published: (2018) -
Correct Usage of the Term “Off-Label” in the Context of Corneal Cross-Linking [Letter]
by: Katz LJ
Published: (2021) -
A proteomics protocol to identify stimulation-induced binding partners dependent on a specific gene in mammalian cells
by: Junji Zhu, et al.
Published: (2021) -
On ideal sumset labelled graphs
by: Mathai,Jincy P., et al.
Published: (2021)