apclusK: Clustering genes to k clusters using affinity propagation...
In charliex210/sctools: Tools for single cell RNAseq analysis

Runs affinity propagation clustering.

1
2
3

apclusK(mat, k = 7, metric = "pearson", negDist = NULL,
  cell_labels = NULL, check_outlier_pattern = FALSE, check_min_size = 5,
  check_cor_thr = -0.5, ...)

`mat`	Gene expression matrix, columns are cells and rows are genes.
`k`	Desired number of gene clusters.
`metric`	Metric used to compute the paired distance - default is pearson correlation distance.
`negDist`	The dissimilarity matrix given by user.
`cell_labels`	cell clustering labels, it must be given when check_outlier_pattern = TRUE.
`check_outlier_pattern`	Detect and remove negtive expression pattern dominated by rare cells.
`check_min_size`	Check the correlation of the cell cluster smaller than check_min_size with all gene clusters.
`check_cor_thr`	Correlation threshold to remove outlier pattern.
`...`	Additional arguments passed on to apclusterK.