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nebula  

Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data
View on CRAN: Click here


Download and install nebula package within the R console
Install from CRAN:
install.packages("nebula")

Install from Github:
library("remotes")
install_github("cran/nebula")

Install by package version:
library("remotes")
install_version("nebula", "1.5.3")



Attach the package and use:
library("nebula")
Maintained by
Liang He
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-21
Latest Update: 2024-02-15
Description:
A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) .
How to cite:
Liang He (2022). nebula: Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data. R package version 1.5.3, https://cran.r-project.org/web/packages/nebula
Previous versions and publish date:
1.2.0 (2022-01-21 10:02), 1.2.2 (2023-01-18 22:00), 1.4.2 (2023-07-06 01:20)
Other packages that cited nebula R package
View nebula citation profile
Other R packages that nebula depends, imports, suggests or enhances
Functions, R codes and Examples using the nebula R package
Some associated functions: group_cell . nbresidual . nebula-package . nebula . sample_data . 
Some associated R codes: RcppExports.R . data.R . group_cell.R . nbresidual.R . nebula.R . pmg.R . pml.R . ptmg.R . utils.R .  Full nebula package functions and examples
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