\name{plotDiscriminantFuzzyPattern} \alias{plotDiscriminantFuzzyPattern} \title{ Plots the Discriminant Fuzzy Pattern of the relevant genes } \description{ This function plots the \emph{Discriminant Fuzzy Pattern} of the relevant genes (in rows) for the sample classes (in columns), as well as the impact factor which determines if a gene belongs to a \emph{Fuzzy Pattern} in a class (if its value is higher than the \var{piVal}).\cr The relevant genes are those which are present in almost two different \emph{Fuzzy Patterns} with different linguistic labels.\cr The plotting is made in both graphical and text mode. } \usage{ plotDiscriminantFuzzyPattern(dfp, overlapping = 2) } \arguments{ \item{dfp}{ A matrix with the fuzzy patterns and impact factors for the relevant genes. } \item{overlapping}{ Modifies the number of membership functions used in the discretization process.\cr Possible values: \enumerate{ \item \sQuote{Low}, \sQuote{Medium}, \sQuote{High}. \item \sQuote{Low}, \sQuote{Low-Medium}, \sQuote{Medium}, \sQuote{Medium-High}, \sQuote{High}. \item \sQuote{Low}, \sQuote{Low-Medium}, \sQuote{Low-Medium-High}, \sQuote{Medium}, \sQuote{Medium-High}, \sQuote{High}. } \code{Default value = 2}. } } \value{ A matrix with the discriminant genes in rows, along with the \emph{Fuzzy Pattern} for each class (in columns).\cr This object contains an attribute (\code{ifs}) which stores the \emph{Impact Factors} used to determine if a gene belongs to a \emph{Fuzzy Pattern} in a class (if the value is higher than the \var{piVal}). } \author{ Rodrigo Alvarez-Gonzalez\cr Daniel Glez-Pena\cr Fernando Diaz\cr Florentino Fdez-Riverola\cr Maintainer: Rodrigo Alvarez-Gonzalez <\email{rodrigo.djv@uvigo.es}> } \references{ F. Diaz; F. Fdez-Riverola; D. Glez-Pena; J.M. Corchado. Using Fuzzy Patterns for Gene Selection and Data Reduction on Microarray Data. 7th International Conference on Intelligent Data Engineering and Automated Learning: IDEAL 2006, (2006) pp. 1095-1102 } \keyword{manip}