Cargando…
Multi-dimensional feature recognition model based on capsule network for ubiquitination site prediction
Ubiquitination is an important post-translational modification of proteins that regulates many cellular activities. Traditional experimental methods for identification are costly and time-consuming, so many researchers have proposed computational methods for ubiquitination site prediction in recent...
Autores principales: | Li, Weimin, Wang, Jie, Luo, Yin, Bezabih, Tsigabu Teame |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745908/ https://www.ncbi.nlm.nih.gov/pubmed/36523471 http://dx.doi.org/10.7717/peerj.14427 |
Ejemplares similares
-
Deep learning for MYC binding site recognition
por: Fioresi, R., et al.
Publicado: (2022) -
Segmentation of biventricle in cardiac cine MRI via nested capsule dense network
por: Zhang, Jilong, et al.
Publicado: (2022) -
Feature screening for survival trait with application to TCGA high-dimensional genomic data
por: Wang, Jie-Huei, et al.
Publicado: (2022) -
Multi-Dimensional Spectral Single Molecule Localization Microscopy
por: Butler, Corey, et al.
Publicado: (2022) -
Gene Ontology Capsule GAN: an improved architecture for protein function prediction
por: Mansoor, Musadaq, et al.
Publicado: (2022)