This function assesses the quality of the clusters
with a given cut k. Returns the median R2 (cor^2) and the median absolute
deviation (MAD) of the clusters. Large clusters (≥1000) are subsampled
to a random set of 1000 genes.
Usage
rs_coremo_quality(cluster_genes, cor_mat, row_names, seed)
Arguments
- cluster_genes
A list. Contains the cluster and their respective
genes.
- cor_mat
Numerical matrix. Contains the correlation coefficients.
- row_names
String vector. The row names (or column names) of the
correlation matrix.
- seed
Integer. Random seed for the sub sampling of genes.
Value
A list containing:
r2med - median R2 of the cluster.
r2mad - median absolute deviation of the R2 in the cluster.
size - size of the cluster.