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ScRNAIMM (version 0.1)

Performing Single-Cell RNA-Seq Imputation by Using Mean/Median Imputation

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) ).

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Install

install.packages('ScRNAIMM')

Monthly Downloads

8

Version

0.1

License

GPL-3

Maintainer

Mohamed Soudy

Last Published

November 17th, 2023

Functions in ScRNAIMM (0.1)

cluster_cells

Perform cell clustering based on scDHA method
ScRNA_imp_MM

Perform ScRNA-seq imputation using mean/Median
evaluate_clustering

Evaluate the clustering if you have the original labels
prepare_dataset

Prepare the data set for the imputation
filter_ScRNA

Remove genes which are not expressed in at least one cell
scRNA_MMI

Performs a distribution check for the data
run_pipeline

Run the main pipeline for ScRNAIMM