Cargando…
RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach
BACKGROUND: RNAs play key roles in cells through the interactions with proteins known as the RNA-binding proteins (RBP) and their binding motifs enable crucial understanding of the post-transcriptional regulation of RNAs. How the RBPs correctly recognize the target RNAs and why they bind specific po...
Autores principales: | Pan, Xiaoyong, Shen, Hong-Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331642/ https://www.ncbi.nlm.nih.gov/pubmed/28245811 http://dx.doi.org/10.1186/s12859-017-1561-8 |
Ejemplares similares
-
A survey on deep learning in DNA/RNA motif mining
por: He, Ying, et al.
Publicado: (2020) -
Domain knowledge integration into deep learning for typhoon intensity classification
por: Higa, Maiki, et al.
Publicado: (2021) -
RBPsuite: RNA-protein binding sites prediction suite based on deep learning
por: Pan, Xiaoyong, et al.
Publicado: (2020) -
CRIP: predicting circRNA–RBP-binding sites using a codon-based encoding and hybrid deep neural networks
por: Zhang, Kaiming, et al.
Publicado: (2019) -
DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery
por: Xu, Haodong, et al.
Publicado: (2021)