ORdensity (version 1.0)

preclusteredData: Preprocessed description of all the identified potential DE 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 her own clustering analysis.

Usage

preclusteredData(object, verbose = TRUE)
# S4 method for ORdensity
preclusteredData(object, verbose = TRUE)

Arguments

object

Object of class ORdensity.

verbose

Boolean indicating if log messages are going to be printed.

Value

data.frame with all potential DE genes.

Examples

# NOT RUN {
# Read data from 2 experimental conditions
simexpr_reduced <- simexpr[c(1:15,101:235),]
x <- simexpr_reduced[, 3:32]
y <- simexpr_reduced[, 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, B = 20)
# dataframe with all potential DE genes:
preclusteredData(myORdensity)
# }