\name{DBFMCLresult-class} \docType{class} \alias{DBFMCLresult-class} \alias{DBFMCLresult} \alias{show,DBFMCLresult-method} \title{Class to store DBFMCL results.} \description{This class represents the results of the \code{\link{DBFMCL}} algorithm.} \section{Objects from the Class}{ Objects can be created by calls of the form \code{ new('DBFMCLresult',}\cr \code{ name = ...., # Object of class character}\cr \code{ data = ...., # Object of class matrix}\cr \code{ cluster = ...., # Object of class vector}\cr \code{ size = ...., # Object of class vector}\cr \code{ center = ...., # Object of class matrix}\cr \code{ parameters = ...., # Object of class list}\cr \code{ )} } \section{Slots}{ \describe{ \item{\code{name}:}{Object of class \code{"character"}, an analysis identifiant (by default "exprs").} \item{\code{data}:}{Object of class \code{"matrix"}, a subset of the original matrix containing the coordinates of the selected elements.} \item{\code{cluster}:}{Object of class \code{"vector"}, a vector of integers indicating the cluster to which each point is allocated.} \item{\code{size}:}{Object of class \code{"vector"}, the number of points in each cluster.} \item{\code{center}:}{Object of class \code{"matrix"}, a matrix of cluster centres.} \item{\code{parameters}:}{Object of class \code{"list"}, a list of all used DBFMCL parameters: normalizationMethod, distanceMethod, k, random, fdr, set.seed, inflation.} } } \section{Methods}{ \describe{ \item{show}{\code{signature(object = "DBFMCLresult")}, provides informations about the object.} } } \references{ Lopez F.,Textoris J., Bergon A., Didier G., Remy E., Granjeaud S., Imbert J. , Nguyen C. and Puthier D. TranscriptomeBrowser: a powerful and flexible toolbox to explore productively the transcriptional landscape of the Gene Expression Omnibus database. PLoSONE, 2008;3(12):e4001. } \author{Bergon A., Lopez F., Textoris J. and Puthier D.} \seealso{\code{\link{writeDBFMCLresult}}, \code{\link{DBFMCL}}} \examples{ obj <- new("DBFMCLresult") obj } \keyword{classes}