Uses of Package
biggests.gui

Packages that use biggests.gui
biggests.gui   
 

Classes in biggests.gui used by biggests.gui
BiggestsFrame
          Title: BiGGEsTS Frame Description: The main frame of the application.
PanelAnalyzingFunctionSignificanceGraph
          Title: Function Analysis - Significance Graph Panel Description: Displays a significance graph of a bicluster.
PanelAnalyzingFunctionTable
          Title: Panel for Analyzing Tables of Functions Description: Displays a table of functions of a bicluster or group of biclusters.
PanelAnalyzingMatrixTables
          Title: Matrix Analysis Tables Panel Description: Displays tables of real values, tables of colors or tables of symbols for matrices, biclusters or groups of biclusters.
PanelBasicIOValidation
          Title: Panel with Basic Input/Output Validation Description: Extends JPanel class with some methods to perform basic validations over data input by the user.
PanelBiclustering
          Title: Biclustering Panel Description: Displays available biclustering techniques and allows for setting their corresponding parameters and apply them to the gene expression data.
PanelExpression
          Title: Expression Panel Description: Displays expression charts.
PanelExpressionChart
          Title: Expression Chart Panel Description: A panel which holds an expression chart.
PanelFunctionAnalysis
          Title: Function Analysis Panel Description: This panel displays function analysis options to apply to a given bicluster or group of biclusters.
PanelLoading
          Title: Loading Panel Description: This panel displays options to load a gene expression dataset, performs all the necessary validation operations of the input and loads the required data, adding the corresponding nodes to the datasettree.
PanelPostProcessing
          Title: Post-Processing Panel Description: Displays options to select and apply post-processing techniques to groups of biclusters.
PanelPreProcessing
          Title: Preprocessing Panel Description: Displays options to select and apply different preprocessing techniques on gene expression data matrices.