use of ubic.gemma.model.analysis.expression.FactorAssociatedAnalysisResultSet in project Gemma by PavlidisLab.
the class DifferentialExpressionSearchController method getFactors.
/**
* AJAX entry.
* Value objects returned contain experiments that have 2 factors and have had the diff analysis run on it.
*/
public Collection<ExpressionExperimentExperimentalFactorValueObject> getFactors(final Collection<Long> eeIds) {
Collection<ExpressionExperimentExperimentalFactorValueObject> result = new HashSet<>();
final Collection<Long> securityFilteredIds = securityFilterExpressionExperimentIds(eeIds);
if (securityFilteredIds.size() == 0) {
return result;
}
log.debug("Getting factors for experiments with ids: " + StringUtils.abbreviate(securityFilteredIds.toString(), 100));
Collection<Long> filteredEeIds = new HashSet<>();
Map<Long, Collection<DifferentialExpressionAnalysis>> diffAnalyses = differentialExpressionAnalysisService.findByInvestigationIds(securityFilteredIds);
if (diffAnalyses.isEmpty()) {
log.debug("No differential expression analyses for given ids: " + StringUtils.join(filteredEeIds, ','));
return result;
}
Collection<ExpressionExperimentValueObject> eevos = this.expressionExperimentService.loadValueObjects(diffAnalyses.keySet(), false);
Map<Long, ExpressionExperimentValueObject> eevoMap = new HashMap<>();
for (ExpressionExperimentValueObject eevo : eevos) {
eevoMap.put(eevo.getId(), eevo);
}
for (Long id : diffAnalyses.keySet()) {
Collection<DifferentialExpressionAnalysis> analyses = diffAnalyses.get(id);
for (DifferentialExpressionAnalysis analysis : analyses) {
differentialExpressionAnalysisService.thaw(analysis);
Collection<ExperimentalFactor> factors = new HashSet<>();
for (FactorAssociatedAnalysisResultSet fars : analysis.getResultSets()) {
// FIXME includes factors making up interaction terms, but shouldn't
// matter, because they will be included as main effects too. If not, this will be wrong!
factors.addAll(fars.getExperimentalFactors());
}
filteredEeIds.add(id);
ExpressionExperimentValueObject eevo = eevoMap.get(id);
ExpressionExperimentExperimentalFactorValueObject eeefvo = new ExpressionExperimentExperimentalFactorValueObject();
eeefvo.setExpressionExperiment(eevo);
eeefvo.setNumFactors(factors.size());
for (ExperimentalFactor ef : factors) {
ExperimentalFactorValueObject efvo = geneDifferentialExpressionService.configExperimentalFactorValueObject(ef);
eeefvo.getExperimentalFactors().add(efvo);
}
result.add(eeefvo);
}
}
log.info("Filtered experiments. Returning factors for experiments with ids: " + StringUtils.abbreviate(filteredEeIds.toString(), 100));
return result;
}
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