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Joint probabilistic modeling of paired transcriptome and proteome measurements in single cells
View ORCID ProfileAdam Gayoso, View ORCID ProfileZoë Steier, View ORCID ProfileRomain Lopez, View ORCID ProfileJeffrey Regier, View ORCID ProfileKristopher L Nazor, View ORCID ProfileAaron Streets, Nir Yosef
doi: https://doi.org/10.1101/2020.05.08.083337
Adam Gayoso
1Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
Zoë Steier
2Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
Romain Lopez
3Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
Jeffrey Regier
4Department of Statistics, University of Michigan, Ann Arbor, Ann Arbor, MI, USA
Kristopher L Nazor
5BioLegend, Inc., San Diego, CA, USA
Aaron Streets
1Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
2Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
6Chan Zuckerberg Biohub, San Francisco, CA, USA
Nir Yosef
1Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
3Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
6Chan Zuckerberg Biohub, San Francisco, CA, USA
7Ragon Institute of MGH, MIT and Harvard
Article usage
Posted May 10, 2020.
Joint probabilistic modeling of paired transcriptome and proteome measurements in single cells
Adam Gayoso, Zoë Steier, Romain Lopez, Jeffrey Regier, Kristopher L Nazor, Aaron Streets, Nir Yosef
bioRxiv 2020.05.08.083337; doi: https://doi.org/10.1101/2020.05.08.083337
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