The
              IsoGene Graphical User Interface (IsoGeneGUI) is a user friendly
              interface of the IsoGene package which is aimed to perform
              analysis of dose-response studies in microarray experiments.
              Additionally, the GUI contains extra methods from packages orQA,
              ORIClust and ORCME. The IsoGeneGUI is developed for the user with
              no or limited knowledge about R programming so he/she can perform
              the analysis of dose-response in microarray setting easily. This
              GUI was developed using tcl/tk.
        
            
        The
              main window of the package is presented below. 
        
            
        Screenshot
                of the main IsoGeneGUI window
       
     
     
       
        The
              GUI has five main menus and in the middle of the window there is
              an info box. The package has five main menus: File, Analysis,
              Clustering, Plots and Help.
        
              File:
         
             
              1. Open dataset
         
                 
              a. R workspace (*.RData files)
         
                 
              b. Excel or Text files (*.xls or *.txt files)
         
             
              2. Show dataset
         
             
              3. Exit
              
            
         
         
         
        Analysis: 
              
 
            
              1. Set Seed
         
            
              2. Likelihood Ratio Test (E2): Asymptotic
            
         
            
              3. Permutation 
            
         
            
              4. Significant Analysis of Microarrays (SAM)
         
                
              a. SAM Permutation
         
                
              b. SAM Analysis
                5. Likelihood Ratio
              Test (E2): orQA
                6. GORIC
            
            Clustering:
                1. ORCME
                2. ORIClust
        
          
        Plot:       
            
            1.
            IsoPlot
            2.
            Permutation P-values Plots
            3. SAM
            Plot
               
            a. Plot of FDR vs. Delta
               
            b. Plot of number of significant genes vs. Delta
               
            c. Plot of number of False Positive vs. Delta
            4.
            User Defined Scatter Plot
                5. Plot ORCME clusters
          
        
          
        Help:    
          1. IsoGene Help
          2. IsoGeneGUI Help
          3. About