dataProject: Compute Reference Component features for clustering analysis

In linquynus/RCAv2-beta: Reference Component Analysis

Description

Compute Reference Component features for clustering analysis

Usage

dataProject(
  rca.obj,
  method = "GlobalPanel",
  customPath = NULL,
  corMeth = "pearson",
  power = 4,
  scale = T
)

Arguments

rca.obj	RCA object.
method	Either "GlobalPanel"(default), "ColonEpiPanel", "MonacoPanel","ENCODEMousePanel","ENCODEHumanPanel","ZhangMouseBrainPanel","NovershternPanel" or "Custom"
customPath	directory path (including filename) to any custom panel stored in RDS format. Only used if method == "Custom".
corMeth	Any of the correlation measures supported by R, defaults to pearson
power	power to raise up to for the RCA features before clustering, default is 4
scale	True if the data should be scaled, False otherwise

Value

RCA object.

linquynus/RCAv2-beta documentation built on Aug. 9, 2020, 12:34 a.m.