ELISL: Early-Late Integrated Synthetic Lethality Prediction in Cancer

Yasin Tepeli; Colm Seale; Joana P. Gonçalves

ELISL: Early-Late Integrated Synthetic Lethality Prediction in Cancer

Yasin Tepeli, Colm Seale, Joana P. Gonçalves^*

^*Corresponding author for this work

Pattern Recognition and Bioinformatics

Research output: Working paper/Preprint › Preprint › Scientific

Original language	English
Publisher	bioRxiv
Publication status	Published - 19 Sep 2022

Keywords

Synthetic lethality
Early-late integration
Machine learning
Cancer
Sequence homology
Gene dependency
Cell line
Tumour tissue
Survival analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://doi.org/10.1101/2022.09.19.508413Licence: CC BY-NC-ND

Cite this

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title = "ELISL: Early-Late Integrated Synthetic Lethality Prediction in Cancer",

keywords = "Synthetic lethality, Early-late integration, Machine learning, Cancer, Sequence homology, Gene dependency, Cell line, Tumour tissue, Survival analysis",

author = "Yasin Tepeli and Colm Seale and {P. Gon{\c c}alves}, Joana",

year = "2022",

month = sep,

day = "19",

language = "English",

publisher = " bioRxiv",

address = "United States",

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T1 - ELISL: Early-Late Integrated Synthetic Lethality Prediction in Cancer

AU - Tepeli, Yasin

AU - Seale, Colm

AU - P. Gonçalves, Joana

PY - 2022/9/19

Y1 - 2022/9/19

KW - Synthetic lethality

KW - Early-late integration

KW - Machine learning

KW - Cancer

KW - Sequence homology

KW - Gene dependency

KW - Cell line

KW - Tumour tissue

KW - Survival analysis

M3 - Preprint

BT - ELISL: Early-Late Integrated Synthetic Lethality Prediction in Cancer

PB - bioRxiv

ER -