Computational methods, databases and tools for synthetic lethality prediction

Abstract Synthetic lethality (SL) occurs between two genes when the inactivation of either gene alone has no effect on cell survival but the inactivation of both genes results in cell death. SL-based therapy has become one of the most promising targeted cancer therapies in the last decade as PARP in...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 23; H. 3
Hauptverfasser:	Wang, Jing, Zhang, Qinglong, Han, Junshan, Zhao, Yanpeng, Zhao, Caiyun, Yan, Bowei, Dai, Chong, Wu, Lianlian, Wen, Yuqi, Zhang, Yixin, Leng, Dongjin, Wang, Zhongming, Yang, Xiaoxi, He, Song, Bo, Xiaochen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 13.05.2022 Oxford Publishing Limited (England)
Schlagworte:	Cancer Cell death Cell survival Computer applications Computer networks Deactivation Deep learning Genes Inactivation Lethality Machine learning Poly(ADP-ribose) polymerase Predictions Review Sampling methods Software Statistical methods computational methods deep learning machine learning synthetic lethality
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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