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A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

Published Online: 2023-09-28

Published Print: 2023-11

Authors

Zhou, Yifan https://orcid.org/0000-0002-3768-9353
Luo, Kaixuan

Liang, Lifan

Chen, Mengjie https://orcid.org/0000-0003-1579-087X
He, Xin https://orcid.org/0000-0001-9011-5212
Funding

Funding for this research was provided by:

U.S. Department of Health & Human Services | National Institutes of Health (R01MH110531, R01MH116281, R01HG010773, R01MH110531, R01MH116281, R01HG010773, R01GM126553, R01HG011883, R01MH110531, R01MH116281, R01HG010773, R01MH110531, R01MH116281, R01HG010773, R01GM126553, R01HG011883)

National Science Foundation (2016307, 2016307)
License Information

Text and Data Mining valid from 2023-09-28

Version of Record valid from 2023-09-28
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Article History

Received: 11 February 2022

Accepted: 18 August 2023

First Online: 28 September 2023

Competing interests

: The authors declare no competing interests.

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