scpoisson-package: scpoisson: Single Cell Poisson Probability Paradigm
In scpoisson: Single Cell Poisson Probability Paradigm
scpoisson-package R Documentation
scpoisson: Single Cell Poisson Probability Paradigm
Description
Useful to visualize the Poissoneity (an independent Poisson statistical framework, where each RNA measurement for each cell comes from its own independent Poisson distribution) of Unique Molecular Identifier (UMI) based single cell RNA sequencing (scRNA-seq) data, and explore cell clustering based on model departure as a novel data representation.
Author(s)
Maintainer: Yue Pan yuep027@gmail.com
Authors:
Justin Landis jtlandis314@gmail.com (ORCID)
Dirk Dittmer dirk_dittmer@med.unc.edu
James S. Marron marron@unc.edu
Di Wu did@email.unc.edu
scpoisson documentation built on Aug. 17, 2022, 9:05 a.m.
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| scpoisson-package | R Documentation |
scpoisson: Single Cell Poisson Probability Paradigm
Description
Useful to visualize the Poissoneity (an independent Poisson statistical framework, where each RNA measurement for each cell comes from its own independent Poisson distribution) of Unique Molecular Identifier (UMI) based single cell RNA sequencing (scRNA-seq) data, and explore cell clustering based on model departure as a novel data representation.
Author(s)
Maintainer: Yue Pan yuep027@gmail.com
Authors:
Justin Landis jtlandis314@gmail.com (ORCID)
Dirk Dittmer dirk_dittmer@med.unc.edu
James S. Marron marron@unc.edu
Di Wu did@email.unc.edu
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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