cluster_stats: Compute statistics about the clusters

In dputhier/dbfmcl: The scigenex package (Single-Cell Informative GENe Explorer)

Compute statistics about the clusters

Description

Compute statistics about the clusters

Usage

cluster_stats(object)

Arguments

object

a ClusterSet object.

Details

For each cluster this function computes: - The sum of (normalized) counts divided by the number of genes (cluster size). This gives a good estimates of whether the genes are weakly or highly expressed (*i.e* housekeeping) - The variance. This provides an estimate of the dispertion of the values inside a cluster. - The standard deviation. This provides an estimate of the dispertion of the values inside a cluster. - The coefficient of variation. This provides an estimate of the dispertion of the values inside a cluster (normalized by the mean expression).

Examples

# load a dataset
load_example_dataset('7871581/files/pbmc3k_medium_clusters')
df <- cluster_stats(pbmc3k_medium_clusters)

dputhier/dbfmcl documentation built on Feb. 28, 2025, 1:21 a.m.