Cargando…
Cancer mutational signatures representation by large-scale context embedding
MOTIVATION: The accumulation of somatic mutations plays critical roles in cancer development and progression. However, the global patterns of somatic mutations, especially non-coding mutations, and their roles in defining molecular subtypes of cancer have not been well characterized due to the compu...
Autores principales: | Zhang, Yang, Xiao, Yunxuan, Yang, Muyu, Ma, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355300/ https://www.ncbi.nlm.nih.gov/pubmed/32657413 http://dx.doi.org/10.1093/bioinformatics/btaa433 |
Ejemplares similares
-
DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction
por: You, Ronghui, et al.
Publicado: (2021) -
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions
por: Yan, Zichao, et al.
Publicado: (2020) -
MutCombinator: identification of mutated peptides allowing combinatorial mutations using nucleotide-based graph search
por: Choi, Seunghyuk, et al.
Publicado: (2020) -
A gated graph transformer for protein complex structure quality assessment and its performance in CASP15
por: Chen, Xiao, et al.
Publicado: (2023) -
CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties
por: Li, Jia-Ning, et al.
Publicado: (2023)