Cargando…
Overcoming selection bias in synthetic lethality prediction
MOTIVATION: Synthetic lethality (SL) between two genes occurs when simultaneous loss of function leads to cell death. This holds great promise for developing anti-cancer therapeutics that target synthetic lethal pairs of endogenously disrupted genes. Identifying novel SL relationships through exhaus...
Autores principales: | Seale, Colm, Tepeli, Yasin, Gonçalves, Joana P |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477536/ https://www.ncbi.nlm.nih.gov/pubmed/35876858 http://dx.doi.org/10.1093/bioinformatics/btac523 |
Ejemplares similares
-
Mitoribosomal synthetic lethality overcomes multidrug resistance in MYC-driven neuroblastoma
por: Borankova, Karolina, et al.
Publicado: (2023) -
Overcoming myelosuppression due to synthetic lethal toxicity for FLT3-targeted acute myeloid leukemia therapy
por: Warkentin, Alexander A, et al.
Publicado: (2014) -
Uncovering synthetic lethal interactions for therapeutic targets and predictive markers in lung adenocarcinoma
por: Chang, Jan-Gowth, et al.
Publicado: (2016) -
SLGNN: synthetic lethality prediction in human cancers based on factor-aware knowledge graph neural network
por: Zhu, Yan, et al.
Publicado: (2023) -
Modeling synthetic lethality
por: Le Meur, Nolwenn, et al.
Publicado: (2008)