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scpoisson: Single Cell Poisson Probability Paradigm
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.
| Version: |
0.0.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
ggplot2, glmpca, Seurat, magrittr, dplyr, tidyr, purrr, Matrix, Rdpack, SeuratObject, WGCNA, broom, stats, methods, matrixStats |
| Suggests: |
renv, testthat (≥ 3.0.0), vdiffr, rmarkdown, knitr, qpdf |
| Published: |
2022-08-17 |
| DOI: |
10.32614/CRAN.package.scpoisson |
| Author: |
Yue Pan [aut, cre],
Justin Landis 
[aut],
Dirk Dittmer [aut],
James S. Marron [aut],
Di Wu [aut] |
| Maintainer: |
Yue Pan <yuep027 at gmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
scpoisson results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=scpoisson
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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