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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

Crossref DOI link: https://doi.org/10.1038/s41592-023-02017-4

Published Online: 2023-09-28

Published Print: 2023-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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)

U.S. Department of Health & Human Services | National Institutes of Health (R01MH116281)

U.S. Department of Health & Human Services | National Institutes of Health (R01HG010773)

U.S. Department of Health & Human Services | National Institutes of Health (R01MH110531)

U.S. Department of Health & Human Services | National Institutes of Health (R01MH116281)

U.S. Department of Health & Human Services | National Institutes of Health (R01HG010773)

U.S. Department of Health & Human Services | National Institutes of Health (R01GM126553)

U.S. Department of Health & Human Services | National Institutes of Health (R01HG011883)

U.S. Department of Health & Human Services | National Institutes of Health (R01MH110531)

U.S. Department of Health & Human Services | National Institutes of Health (R01MH116281)

U.S. Department of Health & Human Services | National Institutes of Health (R01HG010773)

U.S. Department of Health & Human Services | National Institutes of Health (R01MH110531)

U.S. Department of Health & Human Services | National Institutes of Health (R01MH116281)

U.S. Department of Health & Human Services | National Institutes of Health (R01HG010773)

U.S. Department of Health & Human Services | National Institutes of Health (R01GM126553)

U.S. Department of Health & Human Services | National Institutes of Health (R01HG011883)

National Science Foundation (2016307)

National Science Foundation (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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