Get started
SBSL
Data and code underlying the publication: Overcoming Selection Bias in Synthetic Lethality Prediction
5
mentions
3
contributors
Description
This repository consists of code to reproduce the results of the paper "Overcoming Selection Bias in Synthetic Lethality Prediction".
The code to reproduce paper results is shared at: https://github.com/joanagoncalveslab/SBSL
No experimental data was collected as part of this project, this project only utilised previously publicly available datasets. Details on accessing this data is fully described in Section 2.1 of the published article.
Keywords
License
- GPL-3.0-only
</>Source code
Not specified
Reference papers
Mentions
- 1.Author(s): Emanuel Gonçalves, Colm J. Ryan, David J. AdamsPublished in Nature Reviews Drug Discovery by Springer Science and Business Media LLC in 202510.1038/s41573-025-01273-7
- 2.Author(s): Yuyang Dou, Yujie Ren, Xinmiao Zhao, Jiaming Jin, Shizheng Xiong, Lulu Luo, Xinru Xu, Xueni Yang, Jiafeng Yu, Li Guo, Tingming LiangPublished in Computers in Biology and Medicine by Elsevier BV in 2024, page: 10806610.1016/j.compbiomed.2024.108066
- 3.Author(s): Kunjie Fan, Birkan Gökbağ, Shan Tang, Shangjia Li, Yirui Huang, Lingling Wang, Lijun Cheng, Lang LiPublished in Briefings in Bioinformatics by Oxford University Press (OUP) in 202410.1093/bib/bbae425
- 4.Author(s): Yasin I Tepeli, Colm Seale, Joana P GonçalvesPublished in Bioinformatics by Oxford University Press (OUP) in 202310.1093/bioinformatics/btad764
Contributors
CS
Colm Seale
JG
Joana Gonçalves
YT
Yasin Tepeli
Member of community