prepare_dataset: Prepare the data set for the imputation
In ScRNAIMM: Performing Single-Cell RNA-Seq Imputation by Using Mean/Median Imputation
View source: R/preprocessing.R
prepare_dataset R Documentation
Prepare the data set for the imputation
Description
This function aims to get the indices where all genes are zeros or genes that is expressed on only one sample per cell
Usage
prepare_dataset(filtered_data, cluster_labels)
Arguments
filtered_data
ScRNA-seq data set generate by filter_ScRNA function
cluster_labels
cell labels
Value
a data frame that contains the processed ScRNA-seq data
Author(s)
Mohamed Soudy Mohmedsoudy2009@gmail.com
ScRNAIMM documentation built on Nov. 18, 2023, 1:09 a.m.
R Package Documentation
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View source: R/preprocessing.R
| prepare_dataset | R Documentation |
Prepare the data set for the imputation
Description
This function aims to get the indices where all genes are zeros or genes that is expressed on only one sample per cell
Usage
prepare_dataset(filtered_data, cluster_labels)
Arguments
filtered_data |
ScRNA-seq data set generate by filter_ScRNA function |
cluster_labels |
cell labels |
Value
a data frame that contains the processed ScRNA-seq data
Author(s)
Mohamed Soudy Mohmedsoudy2009@gmail.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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