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

The rapid accumulation of large-scale single-cell RNA-seq datasets from multiple institutions presents remarkable opportunities for automatically cell annotations through integrative analyses. However, the privacy issue has existed but being ignored, since we are limited to access and utilize all th...

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Detalles Bibliográficos
Autores principales: Chen, Shaoqi, Duan, Bin, Zhu, Chenyu, Tang, Chen, Wang, Shuguang, Gao, Yicheng, Fu, Shaliu, Fan, Lixin, Yang, Qiang, Liu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science China Press 2022
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771767/
https://www.ncbi.nlm.nih.gov/pubmed/36543995
http://dx.doi.org/10.1007/s11427-022-2224-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771767/
https://www.ncbi.nlm.nih.gov/pubmed/36543995
http://dx.doi.org/10.1007/s11427-022-2224-4

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