use of org.baderlab.csplugins.enrichmentmap.model.EMCreationParameters in project EnrichmentMapApp by BaderLab.
the class LoadDatasetTaskTest method testLoadDataset1GSEAResult_withexpression.
@Test
public void testLoadDataset1GSEAResult_withexpression() throws Exception {
//for a dataset we require genesets, an expression file (optional), enrichment results
String testGMTFileName = "src/test/resources/org/baderlab/csplugins/enrichmentmap/task/LoadDataset/gs_apop_mouse.gmt";
String testExpressionFileName = "src/test/resources/org/baderlab/csplugins/enrichmentmap/task/LoadDataset/Expressiontestfile.gct";
String testGSEAResults1FileName = "src/test/resources/org/baderlab/csplugins/enrichmentmap/task/LoadDataset/GSEA_enrichments1.xls";
String testGSEAResults2FileName = "src/test/resources/org/baderlab/csplugins/enrichmentmap/task/LoadDataset/GSEA_enrichments2.xls";
DataSetFiles files = new DataSetFiles();
files.setGMTFileName(testGMTFileName);
files.setExpressionFileName(testExpressionFileName);
files.setEnrichmentFileName1(testGSEAResults1FileName);
files.setEnrichmentFileName2(testGSEAResults2FileName);
EMCreationParameters params = new EMCreationParameters("EM1_", 0.1, 0.1, NESFilter.ALL, Optional.empty(), SimilarityMetric.JACCARD, 0.1, 0.1);
//create an new enrichment Map
EnrichmentMap em = new EnrichmentMap(params, serviceRegistrar);
//create a dataset
EMDataSet dataset = em.createDataSet(LegacySupport.DATASET1, Method.Generic, files);
//load Data
GMTFileReaderTask task = new GMTFileReaderTask(dataset);
task.run(taskMonitor);
ParseGSEAEnrichmentResults enrichmentResultsFilesTask = new ParseGSEAEnrichmentResults(dataset);
enrichmentResultsFilesTask.run(taskMonitor);
//load expression file
ExpressionFileReaderTask exptask = new ExpressionFileReaderTask(dataset);
exptask.run(taskMonitor);
//check to see if the dataset loaded
assertEquals(193, dataset.getSetOfGeneSets().getGeneSets().size());
assertEquals(14, dataset.getEnrichments().getEnrichments().size());
assertEquals(41, dataset.getDataSetGenes().size());
assertEquals(41, dataset.getExpressionSets().getNumGenes());
}
use of org.baderlab.csplugins.enrichmentmap.model.EMCreationParameters in project EnrichmentMapApp by BaderLab.
the class LoadDavidResultTest method testLoad2DavidResult_withoutexpression.
@Test
public void testLoad2DavidResult_withoutexpression() throws Exception {
//for a dataset we require genesets, an expression file (optional), enrichment results
String testDavidResultsFileName = "src/test/resources/org/baderlab/csplugins/enrichmentmap/task/david_output/12hr_David_Output.txt";
DataSetFiles files = new DataSetFiles();
files.setEnrichmentFileName1(testDavidResultsFileName);
//for a dataset we require genesets, an expression file (optional), enrichment results
String testDavidResultsFileName2 = "src/test/resources/org/baderlab/csplugins/enrichmentmap/task/david_output/24hr_David_Output.txt";
DataSetFiles files2 = new DataSetFiles();
files2.setEnrichmentFileName1(testDavidResultsFileName2);
//set the method to David
double similarityCutoff = 0.25;
double pvalue = 0.005;
// 5.0 X 10-3
double qvalue = 0.005;
EMCreationParameters params = new EMCreationParameters("EM1_", pvalue, qvalue, NESFilter.ALL, Optional.empty(), SimilarityMetric.JACCARD, similarityCutoff, 0.5);
//create an new enrichment Map
EnrichmentMap em = new EnrichmentMap(params, serviceRegistrar);
//Load first dataset
//create a dataset
EMDataSet dataset = em.createDataSet(LegacySupport.DATASET1, Method.Specialized, files);
//create a DatasetTask
ParseDavidEnrichmentResults enrichmentResultsFilesTask = new ParseDavidEnrichmentResults(dataset);
enrichmentResultsFilesTask.run(taskMonitor);
//Load second dataset
//create a dataset
EMDataSet dataset2 = em.createDataSet(LegacySupport.DATASET2, Method.Specialized, files2);
//create a DatasetTask
ParseDavidEnrichmentResults enrichmentResultsFiles2Task = new ParseDavidEnrichmentResults(dataset2);
enrichmentResultsFiles2Task.run(taskMonitor);
// check to see if the two datasets are distinct
if (!((dataset.getDataSetGenes().containsAll(dataset2.getDataSetGenes())) && (dataset2.getDataSetGenes().containsAll(dataset.getDataSetGenes()))))
em.setDistinctExpressionSets(true);
CreateDummyExpressionTask dummyExpressionTask = new CreateDummyExpressionTask(dataset);
dummyExpressionTask.run(taskMonitor);
CreateDummyExpressionTask dummyExpressionTask2 = new CreateDummyExpressionTask(dataset2);
dummyExpressionTask2.run(taskMonitor);
em.filterGenesets();
InitializeGenesetsOfInterestTask genesets_init = new InitializeGenesetsOfInterestTask(em);
genesets_init.run(taskMonitor);
// check to see if the dataset loaded - there should be 215 genesets
assertEquals(215, dataset.getSetOfGeneSets().getGeneSets().size());
// there should also be 215 enrichments (the genesets are built from the txt file)
assertEquals(215, dataset.getEnrichments().getEnrichments().size());
// there should be 7 genesets in the enrichments of interest
assertEquals(7, dataset.getGeneSetsOfInterest().getGeneSets().size());
// there should be 114 genes in the geneset "acetylation"
assertEquals(114, em.getDataSet(LegacySupport.DATASET1).getSetOfGeneSets().getGeneSets().get("ACETYLATION").getGenes().size());
// assertEquals(114, em.getAllGenesets().get("ACETYLATION").getGenes().size());
dataset2 = em.getDataSet(LegacySupport.DATASET2);
// check the stats for dataset2
// check to see if the dataset loaded - there should be 263 genesets
assertEquals(263, dataset2.getSetOfGeneSets().getGeneSets().size());
// there should also be 263 enrichments (the genesets are built from the bgo file)
assertEquals(263, dataset2.getEnrichments().getEnrichments().size());
// there should be 0 genesets in the enrichments of interest
assertEquals(0, dataset2.getGeneSetsOfInterest().getGeneSets().size());
// make sure the dummy expression has values for all the genes
assertEquals(367, dataset2.getExpressionSets().getNumGenes());
assertEquals(367, dataset2.getDataSetGenes().size());
// there should be 20 edges (2 edges for every node because of the distinct expresison sets)
// assertEquals((7*6),em.getGenesetSimilarity().size()); there should be a total of 366 genes
assertEquals(661, em.getNumberOfGenes());
}
use of org.baderlab.csplugins.enrichmentmap.model.EMCreationParameters in project EnrichmentMapApp by BaderLab.
the class LoadDavidResultTest method testLoadDavidResult_withoutexpression.
@Test
public void testLoadDavidResult_withoutexpression() throws Exception {
//for a dataset we require genesets, an expression file (optional), enrichment results
String testDavidResultsFileName = "src/test/resources/org/baderlab/csplugins/enrichmentmap/task/david_output/12hr_David_Output.txt";
DataSetFiles files = new DataSetFiles();
files.setEnrichmentFileName1(testDavidResultsFileName);
//set the method to David
double similarityCutoff = 0.25;
double pvalue = 0.005;
// 5.0 X 10-3
double qvalue = 0.005;
EMCreationParameters params = new EMCreationParameters("EM1_", pvalue, qvalue, NESFilter.ALL, Optional.empty(), SimilarityMetric.JACCARD, similarityCutoff, 0.5);
//create an new enrichment Map
EnrichmentMap em = new EnrichmentMap(params, serviceRegistrar);
//Load data set
//create a dataset
EMDataSet dataset = em.createDataSet(LegacySupport.DATASET1, Method.Specialized, files);
//create a DatasetTask
ParseDavidEnrichmentResults enrichmentResultsFilesTask = new ParseDavidEnrichmentResults(dataset);
enrichmentResultsFilesTask.run(taskMonitor);
CreateDummyExpressionTask dummyExpressionTask = new CreateDummyExpressionTask(dataset);
dummyExpressionTask.run(taskMonitor);
em.filterGenesets();
InitializeGenesetsOfInterestTask genesets_init = new InitializeGenesetsOfInterestTask(em);
genesets_init.run(taskMonitor);
Baton<Map<SimilarityKey, GenesetSimilarity>> baton = new Baton<>();
ComputeSimilarityTaskParallel similarities = new ComputeSimilarityTaskParallel(em, baton.consumer());
similarities.run(taskMonitor);
//check to see if the dataset loaded - there should be 215 genesets
assertEquals(215, dataset.getSetOfGeneSets().getGeneSets().size());
//there should also be 215 enrichments (the genesets are built from the txt file)
assertEquals(215, dataset.getEnrichments().getEnrichments().size());
//there should be 7 genesets in the enrichments of interest
assertEquals(7, dataset.getGeneSetsOfInterest().getGeneSets().size());
//there should be 7 * 6 edges
assertEquals(11, baton.supplier().get().size());
//there should be a total of 366 genes
assertEquals(414, em.getNumberOfGenes());
//there should be 43 genes in the geneset "nucleolus"
assertEquals(114, em.getAllGeneSets().get("ACETYLATION").getGenes().size());
//make sure the dummy expression has values for all the genes
assertEquals(414, dataset.getExpressionSets().getNumGenes());
assertEquals(414, dataset.getDataSetGenes().size());
}
use of org.baderlab.csplugins.enrichmentmap.model.EMCreationParameters in project EnrichmentMapApp by BaderLab.
the class PostAnalysisTaskTest method test_1_EnrichmentMapBuildMapTask.
@Test
public void test_1_EnrichmentMapBuildMapTask(CyApplicationManager applicationManager, CyNetworkManager networkManager, EnrichmentMapManager emManager) {
DataSetFiles dataset1files = new DataSetFiles();
dataset1files.setGMTFileName(PATH + "gene_sets.gmt");
dataset1files.setExpressionFileName(PATH + "FakeExpression.txt");
dataset1files.setEnrichmentFileName1(PATH + "fakeEnrichments.txt");
dataset1files.setRankedFile(PATH + "FakeRank.rnk");
EMCreationParameters params = new EMCreationParameters("EM1_", 0.1, 0.1, NESFilter.ALL, Optional.empty(), SimilarityMetric.JACCARD, 0.1, 0.1);
buildEnrichmentMap(params, dataset1files, Method.Generic, LegacySupport.DATASET1);
// Assert the network is as expected
Set<CyNetwork> networks = networkManager.getNetworkSet();
assertEquals(1, networks.size());
CyNetwork network = networks.iterator().next();
Map<String, CyNode> nodes = TestUtils.getNodes(network);
assertEquals(4, nodes.size());
assertTrue(nodes.containsKey("BOTTOM8_PLUS100"));
assertTrue(nodes.containsKey("MIDDLE8_PLUS100"));
assertTrue(nodes.containsKey("TOP8_PLUS100"));
assertTrue(nodes.containsKey("TOP1_PLUS100"));
EdgeSimilarities edges = TestUtils.getEdgeSimilarities(network);
assertEquals(6, edges.size());
assertTrue(edges.containsEdge("MIDDLE8_PLUS100", "Geneset_Overlap", "BOTTOM8_PLUS100"));
assertTrue(edges.containsEdge("TOP8_PLUS100", "Geneset_Overlap", "MIDDLE8_PLUS100"));
assertTrue(edges.containsEdge("TOP8_PLUS100", "Geneset_Overlap", "BOTTOM8_PLUS100"));
assertTrue(edges.containsEdge("TOP1_PLUS100", "Geneset_Overlap", "TOP8_PLUS100"));
assertTrue(edges.containsEdge("TOP1_PLUS100", "Geneset_Overlap", "MIDDLE8_PLUS100"));
assertTrue(edges.containsEdge("TOP1_PLUS100", "Geneset_Overlap", "BOTTOM8_PLUS100"));
// Make the network available to the subsequent test methods (requires test methods are run in order)
emNetwork = network;
}
use of org.baderlab.csplugins.enrichmentmap.model.EMCreationParameters in project EnrichmentMapApp by BaderLab.
the class PostAnalysisCutoffTest method _setup.
@Test
public void _setup(PropertyManager pm, CyApplicationManager applicationManager, CyNetworkManager networkManager) {
EMCreationParameters params = new EMCreationParameters("EM1_", pm.getDefaultPvalue(), pm.getDefaultQvalue(), NESFilter.ALL, Optional.empty(), SimilarityMetric.JACCARD, pm.getDefaultJaccardCutOff(), pm.getDefaultCombinedConstant());
DataSetFiles dataset1files = new DataSetFiles();
dataset1files.setGMTFileName(PATH + "gene_sets.gmt");
dataset1files.setExpressionFileName(PATH + "FakeExpression.txt");
dataset1files.setEnrichmentFileName1(PATH + "fakeEnrichments.txt");
dataset1files.setRankedFile(PATH + "FakeRank.rnk");
buildEnrichmentMap(params, dataset1files, Method.Generic, LegacySupport.DATASET1);
// Assert the network is as expected
Set<CyNetwork> networks = networkManager.getNetworkSet();
assertEquals(1, networks.size());
emNetwork = networks.iterator().next();
}
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