calculate_expression_skewness: Calculate Expression Distribution Skewness (Use in package)
In SlimR: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation
View source: R/Probability_parameter.R
calculate_expression_skewness R Documentation
Calculate Expression Distribution Skewness (Use in package)
Description
Computes the average skewness of gene expression distributions
across all features.
Usage
calculate_expression_skewness(expression_matrix)
Arguments
expression_matrix
Matrix of expression values
Value
Mean absolute skewness across all genes
See Also
Other Section_1_Functions_Use_in_Package:
calculate_cluster_variability(),
calculate_expression(),
calculate_probability(),
compute_adaptive_parameters(),
estimate_batch_effect(),
extract_dataset_features()
SlimR documentation built on Feb. 5, 2026, 5:08 p.m.
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View source: R/Probability_parameter.R
| calculate_expression_skewness | R Documentation |
Calculate Expression Distribution Skewness (Use in package)
Description
Computes the average skewness of gene expression distributions across all features.
Usage
calculate_expression_skewness(expression_matrix)
Arguments
expression_matrix |
Matrix of expression values |
Value
Mean absolute skewness across all genes
See Also
Other Section_1_Functions_Use_in_Package:
calculate_cluster_variability(),
calculate_expression(),
calculate_probability(),
compute_adaptive_parameters(),
estimate_batch_effect(),
extract_dataset_features()
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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