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Bayesian Inference for a Generative Model of Transcriptome Profiles from Single-cell RNA Sequencing

View ORCID ProfileRomain Lopez, View ORCID ProfileJeffrey Regier, Michael Cole, View ORCID ProfileMichael Jordan, View ORCID ProfileNir Yosef
doi: https://doi.org/10.1101/292037
Romain Lopez
1Department of Electrical Engineering and Computer Science, University of California, Berkeley
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Jeffrey Regier
1Department of Electrical Engineering and Computer Science, University of California, Berkeley
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Michael Cole
2Department of Physics, University of California, Berkeley
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Michael Jordan
1Department of Electrical Engineering and Computer Science, University of California, Berkeley
3Department of Statistics, University of California, Berkeley
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Nir Yosef
1Department of Electrical Engineering and Computer Science, University of California, Berkeley
5Ragon Institute of MGH, MIT and Harvard
6Chan-Zuckerberg Biohub Investigator
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Posted October 14, 2018.
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Bayesian Inference for a Generative Model of Transcriptome Profiles from Single-cell RNA Sequencing
Romain Lopez, Jeffrey Regier, Michael Cole, Michael Jordan, Nir Yosef
bioRxiv 292037; doi: https://doi.org/10.1101/292037
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Bayesian Inference for a Generative Model of Transcriptome Profiles from Single-cell RNA Sequencing
Romain Lopez, Jeffrey Regier, Michael Cole, Michael Jordan, Nir Yosef
bioRxiv 292037; doi: https://doi.org/10.1101/292037

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