pathway.pc.correlation.distance: Calculate correlation distance between PC magnitudes given a...

In pagoda2: Single Cell Analysis and Differential Expression

Calculate correlation distance between PC magnitudes given a number of target dimensions

Description

Calculate correlation distance between PC magnitudes given a number of target dimensions

Usage

pathway.pc.correlation.distance(pcc, xv, n.cores = 1, target.ndf = NULL)

Arguments

pcc	weighted PC magnitudes e.g. scde::pagoda.pathway.wPCA() gives the weighted PC magnitudes for each gene provided; e.g. scde::pagoda.gene.clusters() gives the weighted PC magnitudes for de novo gene sets identified by clustering on expression
xv	a matrix of normalized aspect patterns (rows: significant aspects, columns: cells)
n.cores	numeric Number of cores to use (default=1)
target.ndf	numeric Target dimensions (default=NULL)

Value

correlation distance matrix, akin to stats dist

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