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ScRNAIMM  

Performing Single-Cell RNA-Seq Imputation by Using Mean/Median Imputation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ScRNAIMM", "0.1")



Attach the package and use:
library("ScRNAIMM")
Maintained by
Mohamed Soudy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-17
Latest Update: 2023-11-17
Description:
Performing single-cell imputation in a way that preserves the biological variations in the data. The package clusters the input data to do imputation for each cluster, and do a distribution check using the Anderson-Darling normality test to impute dropouts using mean or median (Yazici, B., & Yolacan, S. (2007) ).
How to cite:
Mohamed Soudy (2023). ScRNAIMM: Performing Single-Cell RNA-Seq Imputation by Using Mean/Median Imputation. R package version 0.1, https://cran.r-project.org/web/packages/ScRNAIMM. Accessed 03 Jan. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for ScRNAIMM
Functions, R codes and Examples using the ScRNAIMM R package
Full ScRNAIMM package functions and examples
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