double BinnedSharedPeakCount::operator()(const BinnedSpectrum& spec1, const BinnedSpectrum& spec2) const
{
if (!spec1.checkCompliance(spec2))
{
cout << "incompatible" << endl;
throw BinnedSpectrumCompareFunctor::IncompatibleBinning(__FILE__, __LINE__, OPENMS_PRETTY_FUNCTION, "");
}
// shortcut similarity calculation by comparing PrecursorPeaks (PrecursorPeaks more than delta away from each other are supposed to be from another peptide)
double pre_mz1 = 0.0;
if (!spec1.getRawSpectrum().getPrecursors().empty())
{
pre_mz1 = spec1.getRawSpectrum().getPrecursors()[0].getMZ();
}
double pre_mz2 = 0.0;
if (!spec2.getRawSpectrum().getPrecursors().empty())
{
pre_mz2 = spec2.getRawSpectrum().getPrecursors()[0].getMZ();
}
if (fabs(pre_mz1 - pre_mz2) > precursor_mass_tolerance_)
{
return 0;
}
double score(0), sum(0);
UInt denominator(max(spec1.getFilledBinNumber(), spec2.getFilledBinNumber())), shared_Bins(min(spec1.getBinNumber(), spec2.getBinNumber()));
// all bins at equal position that have both intensity > 0 contribute positively to score
for (Size i = 0; i < shared_Bins; ++i)
{
if (spec1.getBins()[i] > 0 && spec2.getBins()[i] > 0)
{
sum++;
}
}
// resulting score normalized to interval [0,1]
score = sum / denominator;
return score;
}
double BinnedSumAgreeingIntensities::operator()(const BinnedSpectrum & spec1, const BinnedSpectrum & spec2) const
{
// avoid crash while comparing
if (!spec1.checkCompliance(spec2))
{
throw IncompatibleBinning(__FILE__, __LINE__, __PRETTY_FUNCTION__, "");
}
// shortcut similarity calculation by comparing PrecursorPeaks (PrecursorPeaks more than delta away from each other are supposed to be from another peptide)
DoubleReal pre_mz1 = 0.0;
if (!spec1.getPrecursors().empty())
pre_mz1 = spec1.getPrecursors()[0].getMZ();
DoubleReal pre_mz2 = 0.0;
if (!spec1.getPrecursors().empty())
pre_mz2 = spec2.getPrecursors()[0].getMZ();
if (fabs(pre_mz1 - pre_mz2) > (double)param_.getValue("precursor_mass_tolerance"))
{
return 0;
}
double score(0), sharedBins(min(spec1.getBinNumber(), spec2.getBinNumber())), sum1(0), sum2(0), summax(0);
// all bins at equal position and similar intensities contribute positively to score
for (Size i = 0; i < sharedBins; ++i)
{
sum1 += spec1.getBins()[i];
sum2 += spec2.getBins()[i];
summax += max((float)0, ((spec1.getBins()[i] + spec2.getBins()[i]) / 2) - fabs(spec1.getBins()[i] - spec2.getBins()[i]));
}
// resulting score normalized to interval [0,1]
score = summax * (2 / (sum1 + sum2));
return score;
}