public void RunAlgorithm()
{
foreach (Experiment e in Experiments)
{
// depending on the size of the dataset table, this could take a second or a few seconds to load
e.LoadDatasetTable();
// compute pairwise correlation
CorrelationTable ct = new CorrelationTable();
CalculatePairwiseCorrelations(e, ct);
// select the rows which correspond to the supplied identifiers
List<CorrelationResult> selectedIdentifiersCorrelationVector = new List<CorrelationResult>();
List<CorrelationResult> filteredCorrelationsVector = new List<CorrelationResult>();
for (int i = ct.Correlations.Count - 1; i >= 0; i--)
{
CorrelationResult cr = ct.Correlations[i];
if (Identifiers.Contains(cr.IdentifierA) && Identifiers.Contains(cr.IdentifierB))
{
selectedIdentifiersCorrelationVector.Add(cr);
ct.Correlations.RemoveAt(i);
}
else if (Identifiers.Contains(cr.IdentifierA) || Identifiers.Contains(cr.IdentifierB))
{
filteredCorrelationsVector.Add(cr);
ct.Correlations.RemoveAt(i);
}
}
// compute t-tests
TTestTable ttt = new TTestTable();
for (int i = 0; i < selectedIdentifiersCorrelationVector.Count; i++)
{
CorrelationResult crA = selectedIdentifiersCorrelationVector[i];
for (int k = 0; k < filteredCorrelationsVector.Count; k++)
{
CorrelationResult crB = filteredCorrelationsVector[k];
if (!ttt.TTestExist(crA.IdentifierA, crA.IdentifierB, crB.IdentifierA, crB.IdentifierB))
{
TTest stt = new TTest(new double[] { crA.Value }, filteredCorrelationsVector[k].Value);
ttt.TTests.Add(stt);
}
}
}
}
}
private static void CalculatePairwiseCorrelations(Experiment e, CorrelationTable ct)
{
for (int i = 0; i < e.DatasetTable.Count; i++)
{
DatasetTableRow rowA = e.DatasetTable[i];
for (int k = i + 1; k < e.DatasetTable.Count; k++)
{
DatasetTableRow rowB = e.DatasetTable[k];
string id_a = rowA.Identifier;
string id_b = rowB.Identifier;
if (!ct.CorrelationExist(id_a, id_b))
{
double[] valuesA = ExperimentHelper.MakeArrayFromStringValues(rowA.Value);
double[] valuesB = ExperimentHelper.MakeArrayFromStringValues(rowB.Value);
double correlation = Correlation.Pearson(valuesA, valuesB);
CorrelationResult cr = new CorrelationResult(id_a, id_b, correlation);
ct.Correlations.Add(cr);
}
}
}
}