\name{ML.edesign}
\alias{ML.edesign}
\title{The function creates an data frame containing the parameters useful for class prediction}
\description{
 This function uses a specific configuration of Target column of the affylmGUI target file.
 To know more about target file see affylmGUI help.
 Each row of the column named Target, in the affylmGUI target file, describes the array on the basis
 of the experimental design.
 Each element needed for the construction of the data frame is separated from the others by an underscore. 
 All the other elements refer to experimental conditions or clinical parameters.
 The absence of a parameter NEEDS to be described in the Target file by NA
 Considering two different conditions to be evaluated each row is made of 5 elements:
 \code{Time_Replicate_Control_cond1_cond2} all separated by an underscore.
 Having an experiment made of 9 arrays with 4 different experimental parameters 
 the affylmGUI target file will look like:
\tabular{lll}{
 Name \tab FileName \tab Target \cr
 mC1  \tab M1.CEL \tab \code{0_1_pos_0_N}A  \cr
 mC2  \tab M4.CEL \tab \code{0_1_pos_0_yes} \cr
 mC3  \tab M7.CEL \tab \code{0_1_neg_0_no}  \cr
 mE1  \tab M3.CEL \tab \code{24_2_neg_1_NA} \cr
 mE2  \tab M6.CEL \tab \code{24_2_NA_1_yes} \cr
 mE3  \tab M9.CEL \tab \code{24_2_neg_1_yes} \cr
 mI1  \tab M2.CEL \tab \code{12_3_0_pos_yes} \cr
 mI2  \tab M5.CEL \tab \code{12_3_0_pos_no} \cr
 mI3  \tab M8.CEL \tab \code{12_3_0_pos_no}
 }

}
\usage{ML.edesign()}
\author{Raffaele A Calogero}
\keyword{utilities}