KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers

MOTIVATION: Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. Wet-lab screening of SL pairs is afflicted with high cost, batch-effect, and off-target problems. Current computational methods for SL prediction include gene knock-out simulation, knowledge-...

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Detalles Bibliográficos
Autores principales: Wang, Shike, Xu, Fan, Li, Yunyang, Wang, Jie, Zhang, Ke, Liu, Yong, Wu, Min, Zheng, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Systems Biology and Networks
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336442/
https://www.ncbi.nlm.nih.gov/pubmed/34252965
http://dx.doi.org/10.1093/bioinformatics/btab271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336442/
https://www.ncbi.nlm.nih.gov/pubmed/34252965
http://dx.doi.org/10.1093/bioinformatics/btab271

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