Cargando…
Quantifying gene selection in cancer through protein functional alteration bias
Compiling the catalogue of genes actively involved in cancer is an ongoing endeavor, with profound implications to the understanding and treatment of the disease. An abundance of computational methods have been developed to screening the genome for candidate driver genes based on genomic data of som...
Autores principales: | Brandes, Nadav, Linial, Nathan, Linial, Michal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6649814/ https://www.ncbi.nlm.nih.gov/pubmed/31334812 http://dx.doi.org/10.1093/nar/gkz546 |
Ejemplares similares
-
Genetic association studies of alterations in protein function expose recessive effects on cancer predisposition
por: Brandes, Nadav, et al.
Publicado: (2021) -
PWAS: proteome-wide association study—linking genes and phenotypes by functional variation in proteins
por: Brandes, Nadav, et al.
Publicado: (2020) -
Enhancing identification of cancer types via lowly-expressed microRNAs
por: Rasnic, Roni, et al.
Publicado: (2017) -
Gene overlapping and size constraints in the viral world
por: Brandes, Nadav, et al.
Publicado: (2016) -
The language of proteins: NLP, machine learning & protein sequences
por: Ofer, Dan, et al.
Publicado: (2021)