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ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders
View ORCID ProfileA. Ali Heydari, Oscar A. Davalos, View ORCID ProfileLihong Zhao, Katrina K. Hoyer, Suzanne S. Sindi
doi: https://doi.org/10.1101/2021.01.28.428725
A. Ali Heydari
1Department of Applied Mathematics, University of California, Merced, 95343, USA
Oscar A. Davalos
2Quantitative and Systems Biology Graduate Program, University of California Merced, 95343, USA
Lihong Zhao
1Department of Applied Mathematics, University of California, Merced, 95343, USA
Katrina K. Hoyer
3Department of Molecular and Cell Biology, University of California, Merced, 95343, USA
4Health Sciences Research Institute, University of California, Merced, 95343, USA
Suzanne S. Sindi
1Department of Applied Mathematics, University of California, Merced, 95343, USA
4Health Sciences Research Institute, University of California, Merced, 95343, USA
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Posted January 30, 2021.
ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders
A. Ali Heydari, Oscar A. Davalos, Lihong Zhao, Katrina K. Hoyer, Suzanne S. Sindi
bioRxiv 2021.01.28.428725; doi: https://doi.org/10.1101/2021.01.28.428725
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