The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/bf2baeba-7971-4954-ade6-7097be6492e9

Tepeli, Yasin; Seale, Colm; Gonçalves, Joana (2024): Data and code underlying the publication: ELISL: Early-Late Integrated Synthetic Lethality Prediction in Cancer. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/bf2baeba-7971-4954-ade6-7097be6492e9.v1

Categories

• Clinical Health (organs, Diseases and Abnormal Conditions)
• Artificial Intelligence and Image Processing
• Biochemistry and Cell Biology
• Oncology and Carcinogenesis
• Health
• Information and Computing Sciences
• Biological Sciences
• Medical and Health Sciences

Keywords

ensemble model machine learning selection bias synthetic lethality

Licence

GPL-3.0

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by Yasin Tepeli , Colm Seale , Joana Gonçalves

This repository consists of Data/Code to reproduce the results of the paper "ELISL: Early-Late Integrated Synthetic Lethality Prediction in Cancer".

The data is shared at: https://doi.org/10.6084/m9.figshare.23607558

The code is shared at: https://github.com/joanagoncalveslab/ELISL

History

• 2024-11-25 first online, published, posted

Publisher

4TU.ResearchData

Format

json, gzipped csv files

Associated peer-reviewed publication

ELISL: Early-Late Integrated Synthetic Lethality Prediction in Cancer

Code hosting project url

https://github.com/joanagoncalveslab/ELISL

Data link

https://doi.org/10.6084/m9.figshare.23607558

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Bioinformatics Lab