private void WriteResults(string cnvCallsPath, StreamWriter outputWriter, BaseCounter baseCounter, bool includePassingOnly, MetricsCalculator metrics)
{
// load and append VCF header information
_cnvChecker.HandleVcfHeaderInfo(outputWriter, new FileLocation(cnvCallsPath));
// Report stats:
outputWriter.WriteLine(includePassingOnly ? "Results for PASSing variants" : "Results for all variants");
outputWriter.WriteLine("Accuracy\t{0:F4}", metrics.Accuracy);
// SK: I felt the direction based performance metrices make more sense
outputWriter.WriteLine("DirectionAccuracy\t{0:F4}", metrics.DirectionAccuracy);
outputWriter.WriteLine("F-score\t{0:F4}", metrics.F1Score);
outputWriter.WriteLine("Recall\t{0:F4}", metrics.Recall);
outputWriter.WriteLine("DirectionRecall\t{0:F4}", metrics.DirectionRecall);
outputWriter.WriteLine("Precision\t{0:F4}", metrics.Precision);
outputWriter.WriteLine("DirectionPrecision\t{0:F4}", metrics.DirectionPrecision);
outputWriter.WriteLine("GainRecall\t{0:F4}", metrics.GainRecall);
outputWriter.WriteLine("GainDirectionRecall\t{0:F4}", metrics.GainDirectionRecall);
outputWriter.WriteLine("GainPrecision\t{0:F4}", metrics.GainPrecision);
outputWriter.WriteLine("GainDirectionPrecision\t{0:F4}", metrics.GainDirectionPrecision);
outputWriter.WriteLine("LossRecall\t{0:F4}", metrics.LossRecall);
outputWriter.WriteLine("LossDirectionRecall\t{0:F4}", metrics.LossRecall);
outputWriter.WriteLine("LossPrecision\t{0:F4}", metrics.LossPrecision);
outputWriter.WriteLine("LossDirectionPrecision\t{0:F4}", metrics.LossDirectionPrecision);
outputWriter.WriteLine("MeanEventAccuracy\t{0:F4}", 100 * baseCounter.MeanAccuracy);
outputWriter.WriteLine("MedianEventAccuracy\t{0:F4}", 100 * baseCounter.MedianAccuracy);
outputWriter.WriteLine("VariantEventsCalled\t{0}", baseCounter.TotalVariants);
outputWriter.WriteLine("VariantBasesCalled\t{0}", baseCounter.TotalVariantBases);
if (baseCounter.RoiBaseCount != null && metrics.RoiBases > 0)
{
outputWriter.WriteLine("ROIAccuracy\t{0:F4}", metrics.ROIAccuracy);
outputWriter.WriteLine("ROIDirectionAccuracy\t{0:F4}", metrics.ROIDirectionAccuracy);
}
// to separate passing and all variant results
outputWriter.WriteLine();
}
public MetricsCalculator CalculateMetrics(Dictionary <string, List <CNInterval> > knownCN, Dictionary <string, List <CnvCall> > calls,
BaseCounter baseCounter, bool optionsSkipDiploid, bool includePassingOnly, Dictionary <string, BitArray> kmerfa = null)
{
// string referenceBases = string.Empty;
calls.Values.SelectMany(x => x).ForEach(call =>
{
if (!(call.IsAltVariant && call.Length >= baseCounter.MinSize && call.Length <= baseCounter.MaxSize))
{
return;
}
if (includePassingOnly && !call.PassFilter)
{
return;
}
baseCounter.TotalVariantBases += call.Length;
baseCounter.TotalVariants++;
});
// skip truth interval that have >= 80% of unmapable bases
// code is not parallel as this will be done by Regression workflow
const double fractionUnmappableBases = 0.8;
var filteredknownCn = new Dictionary <string, List <CNInterval> >();
if (kmerfa != null)
{
foreach (var chromosome in knownCN.Keys)
{
filteredknownCn[chromosome] = new List <CNInterval>();
foreach (var interval in knownCN[chromosome])
{
// always include REF intervals even if they are in unmappable regions
if (interval.Cn == interval.ReferenceCopyNumber)
{
filteredknownCn[chromosome].Add(interval);
continue;
}
var flaggedBasesCounter = 0;
for (var bp = interval.Start; bp < interval.End; bp++)
{
if (!kmerfa[chromosome][bp])
{
flaggedBasesCounter++;
}
}
if (flaggedBasesCounter / (double)interval.Length < fractionUnmappableBases)
{
filteredknownCn[chromosome].Add(interval);
}
else
{
Console.Error.WriteLine($"skipping truth interval {interval} with >= {fractionUnmappableBases} fraction of unmappable positions");
}
}
}
}
else
{
filteredknownCn = knownCN;
}
foreach (CNInterval interval in filteredknownCn.Values.SelectMany(x => x))
{
if (!(interval.Length >= baseCounter.MinSize && interval.Length <= baseCounter.MaxSize))
{
continue;
}
int nonOverlapBases = interval.Length;
int nonOverlapRoiBases = 0;
if (!_cnvChecker.RegionsOfInterest.Empty() &&
_cnvChecker.RegionsOfInterest.ContainsKey(interval.Chromosome))
{
foreach (CNInterval roiInterval in _cnvChecker.RegionsOfInterest[interval.Chromosome])
{
int roiOverlapStart = Math.Max(roiInterval.Start, interval.Start);
int roiOverlapEnd = Math.Min(roiInterval.End, interval.End);
if (roiOverlapStart >= roiOverlapEnd)
{
continue;
}
int roiOverlapBases = roiOverlapEnd - roiOverlapStart;
nonOverlapRoiBases -= roiOverlapBases;
}
}
int totalOverlapBases = 0;
int totalRoiOverlapBases = 0;
int excludeIntervalBases = 0;
var totalIntervalRefPloidy = new List <(int ploidy, int length)>();
string chromosome = interval.Chromosome;
if (!calls.ContainsKey(chromosome))
{
chromosome = chromosome.Replace("chr", "");
}
if (!calls.ContainsKey(chromosome))
{
chromosome = "chr" + chromosome;
}
IEnumerable <CnvCall> callsThisChromosome;
if (calls.ContainsKey(chromosome))
{
callsThisChromosome = calls[chromosome];
}
else
{
Console.Error.WriteLine($"Error: no Canvas calls for chromosome {interval.Chromosome} in truth file");
callsThisChromosome = Enumerable.Empty <CnvCall>();
}
int knownCn = interval.Cn;
if (knownCn > MaxCn)
{
knownCn = MaxCn;
}
int thisIntervalBasesTruePositive = 0;
int thisIntervalBasesTrueNegative = 0;
int thisIntervalBasesFalsePositive = 0;
int thisIntervalBasesFalseNegative = 0;
int thisIntervalBasesNoCall = interval.Length;
int thisIntervalBasesExcluded = 0;
foreach (CnvCall call in callsThisChromosome)
{
if (!call.RefPloidy.HasValue)
{
throw new IlluminaException($"Could not determine reference ploidy for call '{call}'. Please provide ploidy information via command line option.");
}
int refPloidy = interval.ReferenceCopyNumber ?? call.RefPloidy.Value;
int CN = call.CN;
if (call.AltAllele == "." && optionsSkipDiploid)
{
continue;
}
if (CN > MaxCn)
{
CN = MaxCn;
}
string chr = call.Chr;
int overlapStart = Math.Max(call.Start, interval.Start);
int overlapEnd = Math.Min(call.End, interval.End);
if (overlapStart >= overlapEnd)
{
continue;
}
int overlapBases = overlapEnd - overlapStart;
int thisCallBasesExcluded = 0;
// We've got an overlap interval. Kill off some bases from this interval, if it happens
// to overlap with an excluded interval:
if (_cnvChecker.ExcludeIntervals.ContainsKey(chr))
{
foreach (CNInterval excludeInterval in _cnvChecker.ExcludeIntervals[chr])
{
int excludeOverlapStart = Math.Max(excludeInterval.Start, overlapStart);
int excludeOverlapEnd = Math.Min(excludeInterval.End, overlapEnd);
if (excludeOverlapStart >= excludeOverlapEnd)
{
continue;
}
excludeIntervalBases += excludeOverlapEnd - excludeOverlapStart;
thisCallBasesExcluded += excludeOverlapEnd - excludeOverlapStart;
overlapBases -= excludeOverlapEnd - excludeOverlapStart;
// if majority of the region is in exclude intervals, don't consider any overlap
// N.B.: the denominator here looks dubious -- why compare overlap bases to the excluded interval overlap size,
// rather than, say, the size of the original truth interval? Or the length of the overlap of the current CNV?
if (overlapBases / Math.Max(excludeOverlapEnd - excludeOverlapStart, 1) < 0.1)
{
thisCallBasesExcluded += overlapBases;
excludeIntervalBases += overlapBases;
overlapBases = 0;
break;
}
}
}
totalIntervalRefPloidy.Add((refPloidy, overlapBases));
if (call.PassFilter || !includePassingOnly)
{
totalOverlapBases += overlapBases;
baseCounter.BaseCount[knownCn, CN, refPloidy] += overlapBases;
if (knownCn == CN)
{
if (CN == refPloidy)
{
thisIntervalBasesTrueNegative += overlapBases;
}
else
{
thisIntervalBasesTruePositive += overlapBases;
}
}
else
{
if (knownCn == refPloidy)
{
thisIntervalBasesFalsePositive += overlapBases;
}
else
{
thisIntervalBasesFalseNegative += overlapBases;
}
}
thisIntervalBasesNoCall -= overlapBases;
thisIntervalBasesNoCall -= thisCallBasesExcluded;
thisIntervalBasesExcluded += thisCallBasesExcluded;
}
interval.BasesCovered += overlapBases;
if (knownCn == CN)
{
interval.BasesCalledCorrectly += overlapBases;
}
else
{
interval.BasesCalledIncorrectly += overlapBases;
}
if (_cnvChecker.RegionsOfInterest.Empty() ||
!_cnvChecker.RegionsOfInterest.ContainsKey(chr))
{
continue;
}
foreach (CNInterval roiInterval in _cnvChecker.RegionsOfInterest[chr])
{
int roiOverlapStart = Math.Max(roiInterval.Start, overlapStart);
int roiOverlapEnd = Math.Min(roiInterval.End, overlapEnd);
if (roiOverlapStart >= roiOverlapEnd)
{
continue;
}
int roiOverlapBases = roiOverlapEnd - roiOverlapStart;
if (call.PassFilter || !includePassingOnly)
{
totalRoiOverlapBases += roiOverlapBases;
baseCounter.RoiBaseCount[knownCn, CN, refPloidy] += roiOverlapBases;
}
}
}
if (baseCounter.MinSize == 0 && baseCounter.MaxSize > 100000)
{
Console.WriteLine($"Truth {chromosome}:{interval.Start}-{interval.End} CN={knownCn} base counts TP/TN/FP/FN/NC/EXCL {thisIntervalBasesTruePositive} {thisIntervalBasesTrueNegative} {thisIntervalBasesFalsePositive} {thisIntervalBasesFalseNegative} {thisIntervalBasesNoCall} {thisIntervalBasesExcluded}");
}
nonOverlapBases -= (totalOverlapBases + excludeIntervalBases);
if (!interval.ReferenceCopyNumber.HasValue)
{
if (totalIntervalRefPloidy.Empty())
{
throw new ArgumentException(
$"Error: Truth variant {interval.Chromosome}:{interval.Start}-{interval.End} with no overlapping " +
$"Canvas calls. Reference ploidy cannot be determined! Please provide reference ploidy via command line options");
}
interval.ReferenceCopyNumber = Convert.ToInt32(Math.Round(Utilities.WeightedMean(
totalIntervalRefPloidy.Select(x => (double)x.ploidy).ToList(),
totalIntervalRefPloidy.Select(x => (double)Math.Max(x.length, 1)).ToList())));
}
if (nonOverlapBases < 0)
{
throw new InvalidDataException($"Truth variant {interval.Chromosome}:{interval.Start}-{interval.End} has negative non-overlap bases");
}
baseCounter.NoCalls[knownCn, interval.ReferenceCopyNumber.Value] += nonOverlapBases;
}
CalculateMedianAndMeanAccuracies(baseCounter, knownCN);
var allIntervals = knownCN.SelectMany(kvp => kvp.Value).ToList();
// find truth interval with highest number of false negatives (hurts recall)
var variantIntervals = allIntervals.Where(interval => interval.Cn != interval.ReferenceCopyNumber).ToList();
if (variantIntervals.Any())
{
var intervalMaxFalseNegatives = variantIntervals.MaxBy(interval => interval.BasesNotCalled + interval.BasesCalledIncorrectly);
Console.WriteLine($"Truth interval with most false negatives (hurts recall): {intervalMaxFalseNegatives}");
}
// find truth interval with highest number of false positive (hurts precision)
var refIntervals = allIntervals.Where(interval => interval.Cn == interval.ReferenceCopyNumber).ToList();
if (refIntervals.Any())
{
var intervalMaxFalsePositives = refIntervals.MaxBy(interval => interval.BasesCalledIncorrectly);
Console.WriteLine($"Truth interval with most false positives (hurts precision): {intervalMaxFalsePositives}");
}
return(MetricsCalculator.CalculateMetrics(baseCounter, MaxCn, 2));
}