scShapes
A Statistical Framework for Modeling and Identifying Differential Distributions in Single-cell RNA-sequencing Data
Bioconductor version: Release (3.20)
We present a novel statistical framework for identifying differential distributions in single-cell RNA-sequencing (scRNA-seq) data between treatment conditions by modeling gene expression read counts using generalized linear models (GLMs). We model each gene independently under each treatment condition using error distributions Poisson (P), Negative Binomial (NB), Zero-inflated Poisson (ZIP) and Zero-inflated Negative Binomial (ZINB) with log link function and model based normalization for differences in sequencing depth. Since all four distributions considered in our framework belong to the same family of distributions, we first perform a Kolmogorov-Smirnov (KS) test to select genes belonging to the family of ZINB distributions. Genes passing the KS test will be then modeled using GLMs. Model selection is done by calculating the Bayesian Information Criterion (BIC) and likelihood ratio test (LRT) statistic.
Author: Malindrie Dharmaratne [cre, aut] 
Maintainer: Malindrie Dharmaratne <malindrie at gmail.com>
citation("scShapes")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scShapes")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scShapes")| The vignette for running scShapes | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | GeneExpression, MultipleComparison, RNASeq, SingleCell, Software |
| Version | 1.12.0 |
| In Bioconductor since | BioC 3.14 (R-4.1) (3 years) |
| License | GPL-3 |
| Depends | R (>= 4.1) |
| Imports | Matrix, stats, methods, pscl, VGAM, dgof, BiocParallel, MASS, emdbook, magrittr, utils |
| System Requirements | |
| URL | https://github.com/Malindrie/scShapes |
| Bug Reports | https://github.com/Malindrie/scShapes/issues |
See More
| Suggests | knitr, rmarkdown, testthat (>= 3.0.0) |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | scShapes_1.12.0.tar.gz |
| Windows Binary (x86_64) | scShapes_1.12.0.zip |
| macOS Binary (x86_64) | scShapes_1.12.0.tgz |
| macOS Binary (arm64) | scShapes_1.12.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/scShapes |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scShapes |
| Bioc Package Browser | https://code.bioconductor.org/browse/scShapes/ |
| Package Short Url | https://bioconductor.org/packages/scShapes/ |
| Package Downloads Report | Download Stats |