private void NegativeBasedNormalization()
{
System.Windows.Forms.DialogResult Res = MessageBox.Show("By applying this process, data will be definitively modified ! Proceed ?", "Warning", MessageBoxButtons.YesNo, MessageBoxIcon.Warning);
if (Res == System.Windows.Forms.DialogResult.No) return;
richTextBoxInfoForNormalization.Clear();
int NumberOfPlates = CompleteScreening.ListPlatesActive.Count;
int NumberOfProcessedPlates = 0;
// loop on all the plate
for (int PlateIdx = 0; PlateIdx < NumberOfPlates; PlateIdx++)
{
cPlate CurrentPlateToProcess = CompleteScreening.ListPlatesActive.GetPlate(CompleteScreening.ListPlatesActive[PlateIdx].Name);
// GlobalInfo.ConsoleWriteLine("Plate: " + CurrentPlateToProcess.Name);
if (CurrentPlateToProcess.GetNumberOfWellOfClass(comboBoxNormalizationNegativeCtrl.SelectedIndex) == 0)
{
richTextBoxInfoForNormalization.AppendText("\n"+ CurrentPlateToProcess.Name + " does not contain well of the selected class. Plate skipped.");
continue;
}
cExtendedList Neg = new cExtendedList();
int NumDesc = CompleteScreening.ListDescriptors.Count;
cWell TempWell;
// loop on all the desciptors
for (int Desc = 0; Desc < NumDesc; Desc++)
{
Neg.Clear();
if (CompleteScreening.ListDescriptors[Desc].IsActive() == false) continue;
for (int row = 0; row < CompleteScreening.Rows; row++)
for (int col = 0; col < CompleteScreening.Columns; col++)
{
TempWell = CurrentPlateToProcess.GetWell(col, row, true);
if (TempWell == null) continue;
if (TempWell.GetClass() == comboBoxNormalizationNegativeCtrl.SelectedIndex) Neg.Add(TempWell.ListDescriptors[Desc].GetValue());
}
double CurrentMean = Neg.Mean();
GlobalInfo.ConsoleWriteLine(CompleteScreening.ListDescriptors[Desc].GetName() + ", average = " + CurrentMean);
if (CurrentMean == 0)
{
richTextBoxInfoForNormalization.AppendText("\n" + CurrentPlateToProcess.Name + " / " + CompleteScreening.ListDescriptors[Desc].GetName() + " average is null!\n");
richTextBoxInfoForNormalization.AppendText("\nNormalization skipped.");
continue;
}
for (int row = 0; row < CompleteScreening.Rows; row++)
for (int col = 0; col < CompleteScreening.Columns; col++)
{
TempWell = CurrentPlateToProcess.GetWell(col, row, true);
if (TempWell == null) continue;
for (int i = 0; i < TempWell.ListDescriptors[Desc].GetAssociatedType().GetBinNumber(); i++)
{
double Val = TempWell.ListDescriptors[Desc].Getvalue(i);
Val /= CurrentMean;
TempWell.ListDescriptors[Desc].SetHistoValues(i,Val*100);
}
TempWell.ListDescriptors[Desc].UpDateDescriptorStatistics();
}
CurrentPlateToProcess.UpDataMinMax();
}
richTextBoxInfoForNormalization.AppendText("\n" + CurrentPlateToProcess.Name + " successfully normalized.");
NumberOfProcessedPlates++;
}
richTextBoxInfoForNormalization.AppendText("\n" + NumberOfProcessedPlates + " / " + NumberOfPlates + " successfully normalized.");
}
private SimpleForm BuildCV(int Desc, int Class)
{
cExtendedList ListValue = new cExtendedList();
// List<double> Neg = new List<double>();
List<cSimpleSignature> CVFactorList = new List<cSimpleSignature>();
cWell TempWell;
int NumberOfPlates = CompleteScreening.ListPlatesActive.Count;
// loop on all the plate
for (int PlateIdx = 0; PlateIdx < NumberOfPlates; PlateIdx++)
{
cPlate CurrentPlateToProcess = CompleteScreening.ListPlatesActive.GetPlate(CompleteScreening.ListPlatesActive[PlateIdx].Name);
ListValue.Clear();
for (int row = 0; row < CompleteScreening.Rows; row++)
for (int col = 0; col < CompleteScreening.Columns; col++)
{
TempWell = CurrentPlateToProcess.GetWell(col, row, true);
if (TempWell == null) continue;
else
{
if (TempWell.GetClass() == Class)
ListValue.Add(TempWell.ListDescriptors[Desc].GetValue());
}
}
double CVScore = ListValue.Std() / ListValue.Mean();
GlobalInfo.ConsoleWriteLine(CurrentPlateToProcess.Name + ", Coeff. of Variation = " + CVScore);
cSimpleSignature TmpDesc = new cSimpleSignature(CurrentPlateToProcess.Name, CVScore);
CVFactorList.Add(TmpDesc);
}
Series CurrentSeries = new Series();
CurrentSeries.ChartType = SeriesChartType.Column;
CurrentSeries.ShadowOffset = 1;
Series SeriesLine = new Series();
SeriesLine.Name = "SeriesLine";
SeriesLine.ShadowOffset = 1;
SeriesLine.ChartType = SeriesChartType.Line;
int RealIdx = 0;
for (int IdxValue = 0; IdxValue < CVFactorList.Count; IdxValue++)
{
if (CVFactorList[IdxValue].AverageValue.ToString() == "NaN") continue;
CurrentSeries.Points.Add(CVFactorList[IdxValue].AverageValue);
CurrentSeries.Points[RealIdx].Label = string.Format("{0:0.###}", CVFactorList[IdxValue].AverageValue);
CurrentSeries.Points[RealIdx].Font = new Font("Arial", 10);
CurrentSeries.Points[RealIdx].ToolTip = CVFactorList[IdxValue].Name;
CurrentSeries.Points[RealIdx].AxisLabel = CVFactorList[IdxValue].Name;
CurrentSeries.Points[RealIdx].Color = CompleteScreening.GlobalInfo.GetColor(Class);
SeriesLine.Points.Add(CVFactorList[IdxValue].AverageValue);
SeriesLine.Points[RealIdx].BorderColor = Color.Black;
SeriesLine.Points[RealIdx].MarkerStyle = MarkerStyle.Circle;
SeriesLine.Points[RealIdx].MarkerSize = 4;
RealIdx++;
}
SimpleForm NewWindow = new SimpleForm();
int thisWidth = 200 * RealIdx;
if (thisWidth > (int)GlobalInfo.OptionsWindow.numericUpDownMaximumWidth.Value)
thisWidth = (int)GlobalInfo.OptionsWindow.numericUpDownMaximumWidth.Value;
NewWindow.Width = thisWidth;
NewWindow.Height = 400;
NewWindow.Text = "Coeff. of Variation";
ChartArea CurrentChartArea = new ChartArea();
CurrentChartArea.BorderColor = Color.Black;
CurrentChartArea.AxisX.Interval = 1;
NewWindow.chartForSimpleForm.Series.Add(CurrentSeries);
NewWindow.chartForSimpleForm.Series.Add(SeriesLine);
CurrentChartArea.AxisX.IsLabelAutoFit = true;
NewWindow.chartForSimpleForm.ChartAreas.Add(CurrentChartArea);
// CurrentChartArea.Axes[1].Maximum = 2;
CurrentChartArea.Axes[1].IsMarksNextToAxis = true;
CurrentChartArea.Axes[0].MajorGrid.Enabled = false;
CurrentChartArea.Axes[1].MajorGrid.Enabled = false;
NewWindow.chartForSimpleForm.TextAntiAliasingQuality = TextAntiAliasingQuality.High;
CurrentChartArea.BackGradientStyle = GradientStyle.TopBottom;
CurrentChartArea.BackColor = CompleteScreening.GlobalInfo.OptionsWindow.panel1.BackColor;
CurrentChartArea.BackSecondaryColor = Color.White;
Title CurrentTitle = new Title(CompleteScreening.ListDescriptors[Desc].GetName() + " Coeff. of Variation");
CurrentTitle.Font = new System.Drawing.Font("Arial", 11, FontStyle.Bold);
NewWindow.chartForSimpleForm.Titles.Add(CurrentTitle);
return NewWindow;
}
/// <summary>
/// This function displays the evolution of the average value of a certain descriptor through the plates, for a specified class
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void descriptorEvolutionToolStripMenuItem_Click(object sender, EventArgs e)
{
if (CompleteScreening == null) return;
FormClassification WindowClassification = new FormClassification(CompleteScreening);
WindowClassification.label1.Text = "Class";
WindowClassification.Text = CompleteScreening.ListDescriptors[CompleteScreening.ListDescriptors.CurrentSelectedDescriptor].GetName() + " evolution";
WindowClassification.buttonClassification.Text = "Display";
if (WindowClassification.ShowDialog() != System.Windows.Forms.DialogResult.OK) return;
int SelectedClass = WindowClassification.comboBoxForNeutralClass.SelectedIndex;
cExtendedList ListValuePerWell = new cExtendedList();
List<cDescriptor> List_Averages = new List<cDescriptor>();
cWell TempWell;
int Desc = this.comboBoxDescriptorToDisplay.SelectedIndex;
int NumberOfPlates = CompleteScreening.ListPlatesActive.Count;
Series CurrentSeries = new Series();
CurrentSeries.Name = "Series1";
CurrentSeries.ChartType = SeriesChartType.ErrorBar;
CurrentSeries.ShadowOffset = 1;
Series SeriesLine = new Series();
SeriesLine.Name = "SeriesLine";
SeriesLine.ShadowOffset = 1;
SeriesLine.ChartType = SeriesChartType.Line;
int RealPlateIdx = 0;
// loop on all the plates
for (int PlateIdx = 0; PlateIdx < NumberOfPlates; PlateIdx++)
{
cPlate CurrentPlateToProcess = CompleteScreening.ListPlatesActive.GetPlate(CompleteScreening.ListPlatesActive[PlateIdx].Name);
ListValuePerWell.Clear();
for (int row = 0; row < CompleteScreening.Rows; row++)
for (int col = 0; col < CompleteScreening.Columns; col++)
{
TempWell = CurrentPlateToProcess.GetWell(col, row, true);
if (TempWell == null) continue;
else
{
if (TempWell.GetClass() == SelectedClass)
{
double Val = TempWell.ListDescriptors[Desc].GetValue();
if (double.IsNaN(Val)) continue;
ListValuePerWell.Add(Val);
}
}
}
if (ListValuePerWell.Count >= 1)
{
DataPoint CurrentPt = new DataPoint();
CurrentPt.XValue = RealPlateIdx;
double[] Values = new double[3];
Values[0] = ListValuePerWell.Mean();
double Std = ListValuePerWell.Std();
if (double.IsInfinity(Std) || (double.IsNaN(Std))) Std = 0;
Values[1] = Values[0] - Std;
Values[2] = Values[0] + Std;
CurrentPt.YValues = Values;//ListValuePerWell.ToArray();
CurrentSeries.Points.Add(CurrentPt);
CurrentSeries.Points[RealPlateIdx].AxisLabel = CurrentPlateToProcess.Name;
CurrentSeries.Points[RealPlateIdx].Font = new Font("Arial", 8);
CurrentSeries.Points[RealPlateIdx].Color = CompleteScreening.GlobalInfo.GetColor(SelectedClass);
SeriesLine.Points.AddXY(RealPlateIdx, Values[0]);
SeriesLine.Points[RealPlateIdx].ToolTip = "Plate name: " + CurrentPlateToProcess.Name + "\nAverage: " + string.Format("{0:0.###}", Values[0]) + "\nStdev: " + string.Format("{0:0.###}", Std);
SeriesLine.Points[RealPlateIdx].Font = new Font("Arial", 8);
SeriesLine.Points[RealPlateIdx].BorderColor = Color.Black;
SeriesLine.Points[RealPlateIdx].MarkerStyle = MarkerStyle.Circle;
SeriesLine.Points[RealPlateIdx].MarkerSize = 8;
RealPlateIdx++;
}
}
SimpleForm NewWindow = new SimpleForm(CompleteScreening);
int thisWidth = 200 * SeriesLine.Points.Count;
if (thisWidth > 1500) thisWidth = 1500;
NewWindow.Width = thisWidth;
NewWindow.Height = 400;
ChartArea CurrentChartArea = new ChartArea();
CurrentChartArea.BorderColor = Color.Black;
NewWindow.chartForSimpleForm.ChartAreas.Add(CurrentChartArea);
CurrentChartArea.AxisX.Interval = 1;
CurrentChartArea.Axes[1].IsMarksNextToAxis = true;
CurrentChartArea.Axes[1].Title = CompleteScreening.ListDescriptors[CompleteScreening.ListDescriptors.CurrentSelectedDescriptor].GetName();
CurrentChartArea.Axes[0].MajorGrid.Enabled = false;
CurrentChartArea.Axes[1].MajorGrid.Enabled = false;
NewWindow.chartForSimpleForm.TextAntiAliasingQuality = TextAntiAliasingQuality.High;
CurrentChartArea.BackGradientStyle = GradientStyle.TopBottom;
CurrentChartArea.BackColor = CompleteScreening.GlobalInfo.OptionsWindow.panel1.BackColor;
CurrentChartArea.BackSecondaryColor = Color.White;
CurrentSeries["BoxPlotWhiskerPercentile"] = "false";
CurrentSeries["BoxPlotShowMedian"] = "false";
CurrentSeries["BoxPlotWhiskerPercentile"] = "false";
CurrentSeries["BoxPlotShowAverage"] = "false";
CurrentSeries["BoxPlotPercentile"] = "false";
CurrentChartArea.AxisX.IsLabelAutoFit = true;
NewWindow.chartForSimpleForm.Series.Add(CurrentSeries);
NewWindow.chartForSimpleForm.Series.Add(SeriesLine);
Title CurrentTitle = new Title("Class " + SelectedClass + " " + CurrentChartArea.Axes[1].Title + " evolution");
NewWindow.chartForSimpleForm.Titles.Add(CurrentTitle);
NewWindow.chartForSimpleForm.Titles[0].Font = new Font("Arial", 9);
NewWindow.Show();
NewWindow.chartForSimpleForm.Update();
NewWindow.chartForSimpleForm.Show();
NewWindow.Controls.AddRange(new System.Windows.Forms.Control[] { NewWindow.chartForSimpleForm });
return;
}
private void StandardNormalization()
{
System.Windows.Forms.DialogResult Res = MessageBox.Show("By applying this process, data will be definitively modified ! Proceed ?", "Warning", MessageBoxButtons.YesNo, MessageBoxIcon.Warning);
if (Res == System.Windows.Forms.DialogResult.No) return;
richTextBoxInfoForNormalization.Clear();
int NumberOfPlates = cGlobalInfo.CurrentScreening.ListPlatesActive.Count;
int NumberOfProcessedPlates = 0;
// loop on all the plate
for (int PlateIdx = 0; PlateIdx < NumberOfPlates; PlateIdx++)
{
cPlate CurrentPlateToProcess = cGlobalInfo.CurrentScreening.ListPlatesActive.GetPlate(PlateIdx);
if (CurrentPlateToProcess.GetNumberOfWellOfClass(comboBoxNormalizationNegativeCtrl.SelectedIndex) < 2)
{
richTextBoxInfoForNormalization.AppendText("\n" + CurrentPlateToProcess.GetName() + " does not contain enough well of the selected class. Plate skipped.");
continue;
}
// GlobalInfo.ConsoleWriteLine("Plate: " + CurrentPlateToProcess.Name);
cExtendedList Neg = new cExtendedList();
int NumDesc = cGlobalInfo.CurrentScreening.ListDescriptors.Count;
cWell TempWell;
// loop on all the desciptors
for (int Desc = 0; Desc < NumDesc; Desc++)
{
if (cGlobalInfo.CurrentScreening.ListDescriptors[Desc].IsConnectedToDatabase == true)
{
cGlobalInfo.ConsoleWriteLine("Cell by cell normalization not implemented yet. " + cGlobalInfo.CurrentScreening.ListDescriptors[Desc].GetName() + " skipped");
continue;
}
Neg.Clear();
if (cGlobalInfo.CurrentScreening.ListDescriptors[Desc].IsActive() == false) continue;
for (int row = 0; row < cGlobalInfo.CurrentScreening.Rows; row++)
for (int col = 0; col < cGlobalInfo.CurrentScreening.Columns; col++)
{
TempWell = CurrentPlateToProcess.GetWell(col, row, true);
if (TempWell == null) continue;
if (TempWell.GetCurrentClassIdx() == comboBoxNormalizationNegativeCtrl.SelectedIndex) Neg.Add(TempWell.ListSignatures[Desc].GetValue());
}
double CurrentMean = Neg.Mean();
double CurrentStd = Neg.Std();
if (CurrentStd == 0.0)
{
richTextBoxInfoForNormalization.AppendText("\n" + CurrentPlateToProcess.GetName() + " - " + cGlobalInfo.CurrentScreening.ListDescriptors[Desc].GetName() + ", Standard deviation = 0, process cancelled");
goto NEXTPLATE;
}
cGlobalInfo.ConsoleWriteLine(cGlobalInfo.CurrentScreening.ListDescriptors[Desc].GetName() + ", average = " + CurrentMean);
for (int row = 0; row < cGlobalInfo.CurrentScreening.Rows; row++)
for (int col = 0; col < cGlobalInfo.CurrentScreening.Columns; col++)
{
TempWell = CurrentPlateToProcess.GetWell(col, row, true);
if (TempWell == null) continue;
// for (int i = 0; i < TempWell.ListDescriptors[Desc].GetAssociatedType().GetBinNumber(); i++)
{
double Value = TempWell.ListSignatures[Desc].GetValue() - CurrentMean;
TempWell.ListSignatures[Desc].SetHistoValues(Value / CurrentStd);
}
TempWell.ListSignatures[Desc].UpDateDescriptorStatistics();
}
CurrentPlateToProcess.UpDataMinMax();
}
richTextBoxInfoForNormalization.AppendText("\n" + CurrentPlateToProcess.GetName() + " successfully normalized.");
NumberOfProcessedPlates++;
NEXTPLATE: ;
}
richTextBoxInfoForNormalization.AppendText("\n" + NumberOfProcessedPlates + " / " + NumberOfPlates + " successfully normalized.");
}
private void NegativePositiveBasedNormalization()
{
System.Windows.Forms.DialogResult Res = MessageBox.Show("By applying this process, data will be definitively modified ! Proceed ?", "Warning", MessageBoxButtons.YesNo, MessageBoxIcon.Warning);
if (Res == System.Windows.Forms.DialogResult.No) return;
richTextBoxInfoForNormalization.Clear();
int NumberOfPlates = cGlobalInfo.CurrentScreening.ListPlatesActive.Count;
int NumberOfProcessedPlates = 0;
// loop on all the plate
for (int PlateIdx = 0; PlateIdx < NumberOfPlates; PlateIdx++)
{
cPlate CurrentPlateToProcess = cGlobalInfo.CurrentScreening.ListPlatesActive.GetPlate(cGlobalInfo.CurrentScreening.ListPlatesActive[PlateIdx].GetName());
// GlobalInfo.ConsoleWriteLine("Plate: " + CurrentPlateToProcess.Name);
if ((CurrentPlateToProcess.GetNumberOfWellOfClass(comboBoxNormalizationNegativeCtrl.SelectedIndex)==0)||((CurrentPlateToProcess.GetNumberOfWellOfClass(comboBoxNormalizationPositiveCtrl.SelectedIndex)==0)))
{
richTextBoxInfoForNormalization.AppendText("\n" + CurrentPlateToProcess.GetName() + " does not contain well of the selected classes. Plate skipped.");
continue;
}
cExtendedList Neg = new cExtendedList();
cExtendedList Pos = new cExtendedList();
int NumDesc = cGlobalInfo.CurrentScreening.ListDescriptors.Count;
cWell TempWell;
// loop on all the desciptors
for (int Desc = 0; Desc < NumDesc; Desc++)
{
Neg.Clear();
if (cGlobalInfo.CurrentScreening.ListDescriptors[Desc].IsActive() == false) continue;
if (cGlobalInfo.CurrentScreening.ListDescriptors[Desc].IsConnectedToDatabase == true)
{
cGlobalInfo.ConsoleWriteLine("Cell by cell normalization not implemented yet. "+ cGlobalInfo.CurrentScreening.ListDescriptors[Desc].GetName() + " skipped");
continue;
}
for (int row = 0; row < cGlobalInfo.CurrentScreening.Rows; row++)
for (int col = 0; col < cGlobalInfo.CurrentScreening.Columns; col++)
{
TempWell = CurrentPlateToProcess.GetWell(col, row, true);
if (TempWell == null) continue;
if (TempWell.GetCurrentClassIdx() == comboBoxNormalizationPositiveCtrl.SelectedIndex) Pos.Add(TempWell.ListSignatures[Desc].GetValue());
if (TempWell.GetCurrentClassIdx() == comboBoxNormalizationNegativeCtrl.SelectedIndex) Neg.Add(TempWell.ListSignatures[Desc].GetValue());
}
double CurrentMeanNeg = Neg.Mean();
double CurrentMeanPos = Pos.Mean();
if (CurrentMeanNeg == CurrentMeanPos)
{
cGlobalInfo.ConsoleWriteLine("Negative and positive are similar, no normalization operated on " + cGlobalInfo.CurrentScreening.ListDescriptors[Desc].GetName());
continue;
}
double Denominator = (Math.Abs(CurrentMeanPos - CurrentMeanNeg));
for (int row = 0; row < cGlobalInfo.CurrentScreening.Rows; row++)
for (int col = 0; col < cGlobalInfo.CurrentScreening.Columns; col++)
{
TempWell = CurrentPlateToProcess.GetWell(col, row, true);
if (TempWell == null) continue;
//for (int i = 0; i < TempWell.ListDescriptors[Desc].GetAssociatedType().GetBinNumber(); i++)
{
double CurrValue = TempWell.ListSignatures[Desc].GetValue();
TempWell.ListSignatures[Desc].SetHistoValues((CurrValue - CurrentMeanNeg) / Denominator);
//TempWell.ListDescriptors[Desc].Histogram.SetYvalues((CurrValue - CurrentMeanNeg) / Denominator,0);
}
//TempWell.ListDescriptors[Desc].Histogram.
TempWell.ListSignatures[Desc].UpDateDescriptorStatistics();
}
CurrentPlateToProcess.UpDataMinMax();
}
richTextBoxInfoForNormalization.AppendText("\n" + CurrentPlateToProcess.GetName() + " successfully normalized.");
NumberOfProcessedPlates++;
}
richTextBoxInfoForNormalization.AppendText("\n" + NumberOfProcessedPlates + " / " + NumberOfPlates + " successfully normalized.");
}
/// <summary>
/// compute the diffusion maps from Iteration = 0 to Iteration = NumIterations
/// </summary>
/// <param name="NumIterations">Maximum number of iterations</param>
private void ComputeDiffusionMaps(int NumIterations)
{
DiffusionMaps = new List<double[,]>();
DiffusionMapsMeans = new List<double>();
DiffusionMapsStdev = new List<double>();
double[,] CurrentMap = new double[cGlobalInfo.CurrentScreening.Columns + 2, cGlobalInfo.CurrentScreening.Rows + 2];
double[,] NextMap = new double[cGlobalInfo.CurrentScreening.Columns + 2, cGlobalInfo.CurrentScreening.Rows + 2];
Array.Copy(Mask, CurrentMap, Mask.Length);
double[,] CurrentMapWithoutBorders0 = new double[cGlobalInfo.CurrentScreening.Columns, cGlobalInfo.CurrentScreening.Rows];
for (int X = 0; X < cGlobalInfo.CurrentScreening.Columns; X++)
for (int Y = 0; Y < cGlobalInfo.CurrentScreening.Rows; Y++)
CurrentMapWithoutBorders0[X, Y] = CurrentMap[X + 1, Y + 1];
DiffusionMaps.Add(CurrentMapWithoutBorders0);
cExtendedList ValueList = new cExtendedList();
for (int it = 0; it < NumIterations; it++)
{
DiffusionLaplacianFunction(CurrentMap, NextMap, cGlobalInfo.CurrentScreening.Columns + 2, cGlobalInfo.CurrentScreening.Rows + 2);
ValueList.Clear();
double[,] CurrentMapWithoutBorders = new double[cGlobalInfo.CurrentScreening.Columns, cGlobalInfo.CurrentScreening.Rows];
for (int X = 0; X < cGlobalInfo.CurrentScreening.Columns; X++)
for (int Y = 0; Y < cGlobalInfo.CurrentScreening.Rows; Y++)
{
CurrentMapWithoutBorders[X, Y] = NextMap[X + 1, Y + 1];
ValueList.Add(CurrentMapWithoutBorders[X, Y]);
}
DiffusionMaps.Add(CurrentMapWithoutBorders);
DiffusionMapsMeans.Add(ValueList.Mean());
DiffusionMapsStdev.Add(ValueList.Std());
Array.Copy(NextMap, CurrentMap, CurrentMap.Length);
}
return;
}
