ACE: a probabilistic model for characterizing gene-level essentiality in CRISPR screens

ACE: a probabilistic model for characterizing gene-level essentiality in CRISPR screens

Abstract High-throughput CRISPR-Cas9 knockout screens are widely used to evaluate gene essentiality in cancer research. Here we introduce a probabilistic modeling framework, Analysis of CRISPR-based Essentiality (ACE), that accounts for multiple sources of variation in CRISPR-Cas9 screens and enable...

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Bibliographic Details
Main Authors: Elizabeth R. Hutton, Christopher R. Vakoc, Adam Siepel
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Genome Biology
Subjects:
CRISPR
Essentiality
Statistical modeling
Gene addiction
Cancer
Online Access:https://doi.org/10.1186/s13059-021-02491-z

Internet

https://doi.org/10.1186/s13059-021-02491-z

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