collapse.aspect.clusters: Collapse aspect patterns into clusters

In pagoda2: Single Cell Analysis and Differential Expression

Collapse aspect patterns into clusters

Description

Collapse aspect patterns into clusters

Usage

collapse.aspect.clusters(d, dw, ct, scale = TRUE, pick.top = FALSE)

Arguments

d	matrix of normalized aspect patterns (rows: significant aspects, columns: cells), normally the output $xv in 'tamr', the combined pathways that show similar expression patterns
dw	corresponding weight matrix to parameter 'd'
ct	clusters, the output of fastcluster::hclust()
scale	boolean Whether to scale aspects (default=TRUE)
pick.top	boolean Whether to pick top aspects (default=FALSE)

Value

list of clusters from matrix of normalized aspect patterns and clusters from the corresponding weight matrix

pagoda2 documentation built on June 24, 2024, 9:09 a.m.