Cargando…
Full-length ribosome density prediction by a multi-input and multi-output model
Translation elongation is regulated by a series of complicated mechanisms in both prokaryotes and eukaryotes. Although recent advance in ribosome profiling techniques has enabled one to capture the genome-wide ribosome footprints along transcripts at codon resolution, the regulatory codes of elongat...
Autores principales: | Tian, Tingzhong, Li, Shuya, Lang, Peng, Zhao, Dan, Zeng, Jianyang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026034/ https://www.ncbi.nlm.nih.gov/pubmed/33770074 http://dx.doi.org/10.1371/journal.pcbi.1008842 |
Ejemplares similares
-
A deep-learning framework for multi-level peptide–protein interaction prediction
por: Lei, Yipin, et al.
Publicado: (2021) -
Modeling multi-species RNA modification through multi-task curriculum learning
por: Xiong, Yuanpeng, et al.
Publicado: (2021) -
Multi input multi output neural population encoding
por: Lazar, Aurel A, et al.
Publicado: (2007) -
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction
por: Wan, Fangping, et al.
Publicado: (2020) -
China’s Land Uses in the Multi-Region Input–Output Framework
por: Bao, Chao, et al.
Publicado: (2019)