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Scalable Multi-Sample Single-Cell Data Analysis by Partition-Assisted Clustering and Multiple Alignments of Networks
Ye Henry Li, Dangna Li, Nikolay Samusik, Xiaowei Wang, Leying Guan, Garry P. Nolan, Wing Hung Wong
doi: https://doi.org/10.1101/116566
Ye Henry Li
aStructural Biology Department and Public Policy Program, Stanford University, Stanford, USA
Dangna Li
bInstitute for Computational and Mathematical Engineering, Stanford University, Stanford, USA
Nikolay Samusik
cDepartment of Microbiology and Immunology, Baxter Laboratory, Stanford University, Stanford, USA
Xiaowei Wang
dStatistics Department, Stanford University, Stanford, USA
Leying Guan
dStatistics Department, Stanford University, Stanford, USA
Garry P. Nolan
cDepartment of Microbiology and Immunology, Baxter Laboratory, Stanford University, Stanford, USA
Wing Hung Wong
dStatistics Department, Stanford University, Stanford, USA
eDepartment of Biomedical Data Science, Stanford University, Stanford, USA
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Posted March 13, 2017.
Scalable Multi-Sample Single-Cell Data Analysis by Partition-Assisted Clustering and Multiple Alignments of Networks
Ye Henry Li, Dangna Li, Nikolay Samusik, Xiaowei Wang, Leying Guan, Garry P. Nolan, Wing Hung Wong
bioRxiv 116566; doi: https://doi.org/10.1101/116566
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