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...

Full description

Saved in:

Bibliographic Details
Published in:	Briefings in bioinformatics Vol. 23; no. 3
Main Authors:	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
Language:	English
Published:	England Oxford University Press 13.05.2022 Oxford Publishing Limited (England)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!