scpoisson: Single Cell Poisson Probability Paradigm (original) (raw)
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 |
| License: | MIT + file |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | scpoisson results |
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