private void buildProfiles() {
log.info("Filling repository with profiles");
List<String> referenceProfile;
List<String> referenceGeneNames;
Set<GctReplicate> gctReplicatePairs = repositoryService.getGctReplicatesCombinations();
int dummyClusteringOrder = gctReplicatePairs.size();
for (GctReplicate gctReplicate : gctReplicatePairs) {
GctFile gctFile = gctReplicate.getGctFile();
ReplicateAnnotation replicateAnnotation = gctReplicate.getReplicateAnnotation();
List<PeakArea> peakAreas =
peakAreaRepository.findByGctFileAndReplicateAnnotation(gctFile, replicateAnnotation);
AssayType assayType = gctFile.getAssayType();
referenceProfile = getReferenceProfile(assayType);
referenceGeneNames = getReferenceGeneNames(assayType);
Double[] profileVector = new Double[referenceProfile.size()];
boolean[] imputeVector = new boolean[referenceProfile.size()];
for (PeakArea peakArea : peakAreas) {
int index = referenceProfile.indexOf(peakArea.getPeptideAnnotation().getPeptideId());
profileVector[index] = peakArea.getValue();
}
UtilsStatistics.imputeProfileVector(profileVector, imputeVector);
Profile profile =
new Profile(
replicateAnnotation,
gctFile,
ArrayUtils.toPrimitive(profileVector),
imputeVector,
referenceProfile,
referenceGeneNames,
dummyClusteringOrder--);
profileRepository.save(profile);
}
}
private void normalize() {
List<AssayType> assayTypes = Arrays.asList(AssayType.GCP, AssayType.P100);
// do loop for each assay e.g. P100, GCP
for (AssayType assayType : assayTypes) {
log.info("Normalize matrix of peak values for assay: {}", assayType);
List<PeakArea> allPeakAreas = peakAreaRepository.findByGctFileAssayType(assayType);
// inefficient, try with database count
int numberOfPeptides = peptideAnnotationRepository.findByAssayType(assayType).size();
int numberOfReplicates = replicateAnnotationRepository.findByAssayType(assayType).size();
ArrayList<Integer> mapPeptideIdToRowId = new ArrayList<>();
ArrayList<Integer> mapReplicateIdToColumnId = new ArrayList<>();
// double[][] matrix = new double[replicates][peptides];
// init matrix with sizes
List<List<Double>> peaksAsMatrix = new ArrayList<>(numberOfReplicates);
for (int i = 0; i < numberOfReplicates; i++) {
peaksAsMatrix.add(new ArrayList<>(numberOfPeptides));
}
for (PeakArea peakArea : allPeakAreas) {
int peptideId = Math.toIntExact(peakArea.getPeptideAnnotation().getId());
int replicateId = Math.toIntExact(peakArea.getReplicateAnnotation().getId());
Double rawValue = peakArea.getValue();
int mappedRowId;
int mappedColumnId;
if (!mapPeptideIdToRowId.contains(peptideId)) {
mapPeptideIdToRowId.add(peptideId);
}
mappedRowId = mapPeptideIdToRowId.indexOf(peptideId);
if (!mapReplicateIdToColumnId.contains(replicateId)) {
mapReplicateIdToColumnId.add(replicateId);
}
mappedColumnId = mapReplicateIdToColumnId.indexOf(replicateId);
peaksAsMatrix.get(mappedColumnId).set(mappedRowId, rawValue);
}
List<List<Double>> outputMatrix = Normalizer.quantileAndZScoreNormalize(peaksAsMatrix);
// write normalized values back to DB
for (int i = 0; i < numberOfReplicates; i++) {
for (int j = 0; j < numberOfPeptides; j++) {
Double normalizedValue = outputMatrix.get(i).get(j);
Long databaseReplicateId = mapReplicateIdToColumnId.get(i).longValue();
Long databasePeptideId = mapPeptideIdToRowId.get(j).longValue();
List<PeakArea> peakAreas =
peakAreaRepository
.findByGctFileAssayTypeAndReplicateAnnotationIdAndPeptideAnnotationId(
assayType, databaseReplicateId, databasePeptideId);
assert peakAreas.size() == 1;
PeakArea peakArea = peakAreas.get(0);
peakArea.setNormalizedValue(normalizedValue);
// Fill in normalized value field in DB
peakAreaRepository.save(peakArea);
}
}
log.info(
"Normalized assay: {} peptides: {}, replicates: {}.",
assayType,
numberOfPeptides,
numberOfReplicates);
}
}
