preclusteredData: preclusteredData

In rsait/ORdensity: ORdensity: User-friendly R package to identify Differentially Expressed genes

Description

This function returns the description of all the identified potential DE genes in terms of variables OR, FP, and dFP in one only table so that the interesed user can perform its own clustering analysis.

Usage

preclusteredData(object, ...)

Arguments

object

Object of class ORdensity

Value

data.frame with all potential DE genes

See Also

summary.ORdensity, plot.ORdensity, silhouetteAnalysis, findDEgenes, ORdensity

Examples

# Read data from 2 experimental conditions
x <- simexpr[, 3:32]
y <- simexpr[, 33:62]
EXC.1 <- as.matrix(x)
EXC.2 <- as.matrix(y)
myORdensity <- new("ORdensity", Exp_cond_1 = EXC.1, Exp_cond_2 = EXC.2)
# data.frame with all potential DE genes:
preclusteredData(myORdensity)

rsait/ORdensity documentation built on Nov. 5, 2019, 4:16 a.m.