cmdnet: Correlation matrix distance across networks

In nwisn/cmdnet: An algorithm for identification of preserved networks across multiple datasets

Description

Computes correlation matrix distance statistics for a list of datasets.

Usage

cmdnet(datalist, genelist = NULL, mode = c("cmd", "node", "net"),
  corFUN = cor, xform = c("none", "fisher"), r0 = NULL,
  metric = c("angle", "cosine"))

Arguments

datalist	A list of datasets
genelist	An optional list of row names to reduce the datasets by
mode	Which of 3 computations to perform. Defaults to all 3.
corFUN	A function specifying which correlation measure to use. Defaults to "cor"
xform	Whether to transform corrlations using Fisher's z transform. Defaults to "none".
r0	An optional consensus matrix to compute deviations around. Defaults to NULL, and computes average matrix.
metric	Whether to use angular distance or cosine distance. Defaults to "angle".

Value

A list of correlation matrix distance statistics

nwisn/cmdnet documentation built on May 30, 2019, 12:47 p.m.