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Semi-CAM: A semi-supervised deconvolution method for bulk transcriptomic data with partial marker gene information

Crossref DOI link: https://doi.org/10.1038/s41598-020-62330-2

Published Online: 2020-03-25

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

Authors

Dong, Li

Kollipara, Avinash

Darville, Toni

Zou, Fei

Zheng, Xiaojing
Funding

Funding for this research was provided by:

U.S. Department of Health & Human Services | National Institutes of Health (R01 AI119164)

U.S. Department of Health & Human Services | National Institutes of Health (U19 AI084024)

U.S. Department of Health & Human Services | National Institutes of Health (U19 AI144181)

U.S. Department of Health & Human Services | National Institutes of Health (R01GM105785)

U.S. Department of Health & Human Services | National Institutes of Health (P30ES010126)

U.S. Department of Health & Human Services | National Institutes of Health (U19 AI113170)

U.S. Department of Health & Human Services | National Institutes of Health (U19 AI144181)

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

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

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

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

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

U.S. Department of Health & Human Services | National Institutes of Health
License Information

Text and Data Mining valid from 2020-03-25

Version of Record valid from 2020-03-25
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Article History

Received: 23 August 2019

Accepted: 26 February 2020

First Online: 25 March 2020

Competing interests

: The authors declare no competing interests.

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