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Detecting Zero-Inflated Genes in Single-Cell Transcriptomics Data
View ORCID ProfileOscar Clivio, View ORCID ProfileRomain Lopez, Jeffrey Regier, View ORCID ProfileAdam Gayoso, Michael I. Jordan, Nir Yosef
doi: https://doi.org/10.1101/794875
Oscar Clivio
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
2Department of Applied Mathematics and Computer Science, Ecole des Ponts ParisTech
Romain Lopez
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
Jeffrey Regier
3Department of Statistics, University of Michigan, Ann Arbor
Adam Gayoso
4Center for Computational Biology, University of California, Berkeley
Michael I. Jordan
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
4Center for Computational Biology, University of California, Berkeley
Nir Yosef
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
4Center for Computational Biology, University of California, Berkeley
5Chan Zuckerberg Biohub, San Francisco, California
6Ragon Institute of MGH, MIT and Harvard
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Posted November 29, 2019.
Detecting Zero-Inflated Genes in Single-Cell Transcriptomics Data
Oscar Clivio, Romain Lopez, Jeffrey Regier, Adam Gayoso, Michael I. Jordan, Nir Yosef
bioRxiv 794875; doi: https://doi.org/10.1101/794875
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