Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy-Reference-Cited by-同舟云学术

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Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy

Published:2022-12-15 Issue: Volume: Page:
ISSN:1674-7305
Container-title:Science China Life Sciences
language:en
Short-container-title:Sci. China Life Sci.

Author:

Chen Shaoqi,Duan Bin,Zhu Chenyu,Tang Chen,Wang Shuguang,Gao Yicheng,Fu Shaliu,Fan Lixin,Yang Qiang,Liu Qi

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s11427-022-2224-4.pdf

Reference53 articles.

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2. Acar, A., Aksu, H., Uluagac, A.S., and Conti, M. (2019). A survey on homomorphic encryption schemes. ACM Comput Surv 51, 1–35.

3. Aran, D., Looney, A.P., Liu, L., Wu, E., Fong, V., Hsu, A., Chak, S., Naikawadi, R.P., Wolters, P.J., Abate, A.R., et al. (2019). Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nat Immunol 20, 163–172.

4. Baron, M., Veres, A., Wolock, S.L., Faust, A.L., Gaujoux, R., Vetere, A., Ryu, J.H., Wagner, B.K., Shen-Orr, S.S., Klein, A.M., et al. (2016). A single-cell transcriptomic map of the human and mouse pancreas reveals inter- and intra-cell population structure. Cell Syst 3, 346–360.e4.

5. Benefield, H., Ashkanazi, G., and Rozensky, R.H. (2006). Communication and records: hippa issues when working in health care settings. Prof Psychol-Res Pract 37, 273–277.

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