Data denoising with transfer learning in single-cell transcriptomics-Reference-Cited by-同舟云学术

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Data denoising with transfer learning in single-cell transcriptomics

Published:2019-08-30 Issue:9 Volume:16 Page:875-878
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Wang Jingshu,Agarwal Divyansh^ORCID,Huang Mo^ORCID,Hu Gang,Zhou Zilu,Ye Chengzhong,Zhang Nancy R.^ORCID

Funder

NSF | Directorate for Mathematical & Physical Sciences | Division of Mathematical Sciences

Blavatnik Family Foundation

U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute

NSF | Directorate for Education & Human Resources | Division of Graduate Education

Natural Science Foundation of Tianjin City

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

http://www.nature.com/articles/s41592-019-0537-1.pdf

Reference21 articles.

1. Huang, M. et al. Nat. Methods 15, 539–542 (2018).

2. Li, W. V. & Li, J. J. Nat. Commun. 9, 1–9 (2018).

3. van Dijk, D. et al. Cell 174, 716–729 (2018).

4. Eraslan, G., Simon, L. M., Mircea, M., Mueller, N. S. & Theis, F. J. Nat. Commun. 10, 390 (2019).

5. Gong, W., Kwak, I., Pota, P., Koyano-nakagawa, N. & Garry, D. J. BMC Bioinforma. 19, 1–10 (2018).

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