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A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation

Published Online: 2022-10-27

Authors

Lakkis, Justin https://orcid.org/0000-0002-9487-9786
Schroeder, Amelia

Su, Kenong

Lee, Michelle Y. Y.

Bashore, Alexander C.

Reilly, Muredach P.

Li, Mingyao https://orcid.org/0000-0003-2422-9494
Funding

Funding for this research was provided by:

U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (R01HL113147, R01HL150359, R01HL113147)

U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (R01GM125301)

U.S. Department of Health & Human Services | NIH | National Eye Institute (R01EY030192, R01EY031209)
License Information

Text and Data Mining valid from 2022-10-27

Version of Record valid from 2022-10-27
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Article History

Received: 11 September 2021

Accepted: 14 September 2022

First Online: 27 October 2022

Competing interests

: The authors declare no competing interests.

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