private void simpleTestToolStripMenuItem_Click(object sender, EventArgs e)
{
Random RNd = new Random();
int NumRow = 8;
double InitialValue = 10;
int NumCol = 12;
cExtendedTable FinalTable = null;
for (int Col = 1; Col <= NumCol; Col++)
{
for (int Repeat = 1; Repeat <= NumRow; Repeat++)
{
cExtendedTable GeneratedTable = new cExtendedTable(1, 1000, InitialValue);
cAddNoise AN = new cAddNoise();
AN.DistributionType = eRandDistributionType.GAUSSIAN;
AN.Mean = 20;// Col*1.2;
AN.Stdv = 0.5 * Col;
AN.SetInputData(GeneratedTable);
AN.Run();
GeneratedTable = AN.GetOutPut();
//for (int i = 0; i < GeneratedTable[0].Count; i++)
//{
// GeneratedTable[0][i] = Col;
// GeneratedTable[1][i] = Repeat;
//}
GeneratedTable.ListRowNames = new List<string>();
for (int i = 0; i < GeneratedTable[0].Count; i++)
{
GeneratedTable.ListRowNames.Add(ConvertPosition(Col, Repeat));
}
if (FinalTable == null)
FinalTable = new cExtendedTable(GeneratedTable);
else
{
cMerge M = new cMerge();
M.IsHorizontal = false;
M.SetInputData(FinalTable, GeneratedTable);
M.Run();
FinalTable = M.GetOutPut();
}
}
}
FinalTable.Name = "generated screen";
FinalTable[0].Name = "Volume";
// FinalTable[1].Name = "Row";
// FinalTable[2].Name = "Volume";
cDisplayExtendedTable DET = new cDisplayExtendedTable();
//DET.SetInputData(FinalTable);
//DET.Run();
cTableToFile TTF = new cTableToFile();
TTF.SetInputData(FinalTable);
TTF.IsDisplayUIForFilePath = true;
TTF.IsRunEXCEL = true;
TTF.IsAppend = false;
TTF.Run();
}
private void sigmoidFittToolStripMenuItem_Click(object sender, EventArgs e)
{
int NumberOfReplicate = 4;
int NumberOfCurves = 30;
int DRCNumberofPoints = 12;
cExtendedTable FullResults = new cExtendedTable();
FullResults.ListRowNames = new List<string>();
double RealEC50 = 0.0001;
int NumberOfDiffEC50 = 20;
int NumberOfSlopes = 100;
// for (int EC50 = 0; EC50 < NumberOfDiffEC50; EC50++)
{
//double TmpSlopeValue = 0.0;
for (int EC50 = 0; EC50 < NumberOfDiffEC50; EC50++)
//for (int SlopeTmp = 0; SlopeTmp < NumberOfSlopes; SlopeTmp++)
{
RealEC50 *= 2;
//TmpSlopeValue += 0.1;
cExtendedList ListPValues = new cExtendedList("EC50 - " + RealEC50/*TmpSlopeValue*/);
cDesignerTab DT = new cDesignerTab();
DT.IsMultiline = false;
cDataGeneratorTitration GT = new cDataGeneratorTitration();
GT.NumberOfPoint = DRCNumberofPoints;
GT.Start = 5;
GT.DilutionFactor = 2;
GT.Run();
Random RND = new Random();
//cExtendedTable EXT = new cExtendedTable();
//EXT.ListRowNames = new List<string>();
//EXT.Name = "Quality fitting Report";
//EXT.Add(new cExtendedList("Noise Level"));
//EXT.Add(new cExtendedList("Original EC50"));
//EXT.Add(new cExtendedList("Estimated EC50"));
//EXT.Add(new cExtendedList("p-Value"));
for (int i = 0; i < NumberOfCurves; i++)
{
cExtendedTable FinalTable = new cExtendedTable();
cDataGeneratorSigmoid DGS = null;
DGS = new cDataGeneratorSigmoid();
DGS.SetInputData(GT.GetOutPut()[0]);
DGS.EC50 = RealEC50;// 0.01;// 1;// 0.1;// Math.Pow((double)10, -2);
DGS.Bottom = 0;
DGS.Top = 100;
DGS.Slope = 2;// TmpSlopeValue;//1;
DGS.Run();
cAddNoise AN = new cAddNoise();
AN.DistributionType = eRandDistributionType.GAUSSIAN;
double NoiseLevel = (i + 1) * 5;
// EXT[0].Add(NoiseLevel);
// EXT[1].Add(DGS.EC50);
#region loop over the replicates
for (int NumReplic = 0; NumReplic < NumberOfReplicate; NumReplic++)
{
//AN.Mean = 0;
//AN.Stdv = 10;
//AN.SetInputData(DGS.GetOutPut());
//AN.Run();
cExtendedList NewL = DGS.GetOutPut()[1];
for (int k = 0; k < NewL.Count; k++)
{
NewL[k] += RND.NextDouble() * NoiseLevel;
}
cExtendedTable TmpTable = new cExtendedTable();
TmpTable.Add(GT.GetOutPut()[0]);
TmpTable.Add(/*AN.GetOutPut()[1]*/NewL);
if (NumReplic >= 1)
{
cMerge M = new cMerge();
M.IsHorizontal = false;
M.SetInputData(TmpTable, FinalTable);
M.Run();
FinalTable = M.GetOutPut();
}
else
FinalTable = new cExtendedTable(TmpTable);
}
#endregion
//cListWell LW = new cListWell(null);
//foreach (cWell item in CompleteScreening.GetCurrentDisplayPlate().ListActiveWells)
//{
// if (item.GetClassIdx() == 0)
// LW.Add(item);
//}
//cExtendedTable ET = LW.GetDescriptorValues(CompleteScreening.ListDescriptors.GetActiveDescriptors(), true);
cCurveForGraph CFG = new cCurveForGraph();
CFG.SetInputData(FinalTable);
CFG.Run();
// compute ANOVA
cANOVA S = new cANOVA();
cExtendedTable NewTable = CFG.ListPtValues.Crop(0, CFG.ListPtValues.Count - 1, 1, CFG.ListPtValues[0].Count - 1);
S.SignificanceThreshold = 1E-11;
S.SetInputData(NewTable);
S.Run();
//cLinearRegression LR = new cLinearRegression();
//LR.SetInputData(FinalTable);
//LR.Run();
cSigmoidFitting SF = new cSigmoidFitting();
SF.SetInputData(FinalTable);
if (SF.Run().IsSucceed == false) continue;
// double Ratio = LR.GetOutPut()[0][LR.GetOutPut().Count - 1] / SF.GetOutPut()[0][SF.GetOutPut().Count - 1];
cExtendedTable Sigmoid = SF.GetFittedRawValues(GT.GetOutPut()[0]);
FinalTable[0] = Sigmoid[1];
cDesignerSplitter DS = new cDesignerSplitter();
////cViewerTableAsRichText VT = new cViewerTableAsRichText();
cViewerTable VT = new cViewerTable();
cExtendedTable TableResults = SF.GetOutPut();
TableResults[0].Add(S.GetOutPut()[0][0]);
ListPValues.Add(S.GetOutPut()[0][0]);
TableResults[0].Add(S.GetOutPut()[0][1]);
TableResults.ListRowNames.Add("p-Value");
TableResults.ListRowNames.Add("Null hyp. rejected?");
VT.SetInputData(TableResults);
VT.DigitNumber = -1;
VT.Run();
cViewerGraph1D VS1 = new cViewerGraph1D();
VS1.SetInputData(new cExtendedTable(Sigmoid[1]));
VS1.AddCurve(CFG);
VS1.Chart.X_AxisValues = Sigmoid[0];//DGS.GetOutPut()[0];
VS1.Chart.IsLogAxis = true;
VS1.Chart.IsLine = true;
VS1.Chart.IsShadow = true;
VS1.Chart.Opacity = 210;
VS1.Chart.LineWidth = 3;
VS1.Chart.LabelAxisX = "Concentration";
VS1.Chart.LabelAxisY = "Readout";
VS1.Chart.XAxisFormatDigitNumber = -1;
VS1.Chart.IsZoomableX = true;
//Classes.Base_Classes.General.cLineVerticalForGraph VLForEC50 = new Classes.Base_Classes.General.cLineVerticalForGraph(SF.GetOutPut()[0][2]);
//VLForEC50.AddText("EC50: " + SF.GetOutPut()[0][2].ToString("e3")/* + "\nError Ratio:" + Ratio.ToString("N4")*/);
//VS1.Chart.ListVerticalLines.Add(VLForEC50);
//VS1.Chart.ArraySeriesInfo = new cSerieInfoDesign[FinalTable.Count];
//EXT[2].Add(SF.GetOutPut()[0][2]);
//EXT[3].Add(S.GetOutPut()[0][0]);
//for (int IdxCurve = 0; IdxCurve < FinalTable.Count; IdxCurve++)
//{
// cSerieInfoDesign TmpSerieInfo = new cSerieInfoDesign();
// TmpSerieInfo.color = Color.FromArgb(100, GlobalInfo.ListCellularPhenotypes[IdxCurve % GlobalInfo.ListCellularPhenotypes.Count].ColourForDisplay);
// TmpSerieInfo.markerStyle = MarkerStyle.Circle;
// VS1.Chart.ArraySeriesInfo[IdxCurve] = TmpSerieInfo;
//}
VS1.Run();
DS.SetInputData(VS1.GetOutPut());
DS.SetInputData(VT.GetOutPut());
DS.Orientation = Orientation.Horizontal;
DS.Title = "Noise Stdev " + NoiseLevel;
DS.Run();
DT.SetInputData(DS.GetOutPut());
// EXT.ListRowNames.Add(DS.Title);
}
DT.Run();
//cDisplayToWindow DTW = new cDisplayToWindow();
//DTW.SetInputData(DT.GetOutPut());
//DTW.Run();
//DTW.Display();
//cDisplayExtendedTable DET = new cDisplayExtendedTable();
//DET.SetInputData(EXT);
//DET.DigitNumber = -1;
//DET.Run();
FullResults.Add(ListPValues);
}
}
cDisplayExtendedTable DET = new cDisplayExtendedTable();
DET.SetInputData(FullResults);
DET.DigitNumber = -1;
DET.Run();
}
