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
Published:
2022年08月17日
Author:
Yue Pan [aut, cre],
Justin Landis
ORCID iD
[aut],
Dirk Dittmer [aut],
James S. Marron [aut],
Di Wu [aut]
Maintainer:
Yue Pan <yuep027 at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
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