use of org.cytoscape.model.CyRow in project EnrichmentMapApp by BaderLab.
the class SessionModelIO method clearTable.
private void clearTable(CyTable table) {
List<Object> rowKeys = new ArrayList<>();
CyColumn keyColumn = table.getPrimaryKey();
for (CyRow row : table.getAllRows()) {
Object key = row.get(keyColumn.getName(), keyColumn.getType());
rowKeys.add(key);
}
table.deleteRows(rowKeys);
}
use of org.cytoscape.model.CyRow in project EnrichmentMapApp by BaderLab.
the class SessionViewIO method restoreView.
public void restoreView(CySession session) {
if (!headless) {
CyTable table = getPrivateTable();
if (table != null) {
for (CyRow row : table.getAllRows()) {
Long suid = COL_NETWORK_VIEW_ID.get(row);
String json = COL_VIEW_JSON.get(row);
if (suid != null && json != null) {
CyNetworkView netView = getNetworkView(suid);
if (netView != null) {
ViewParams params = ViewSerializer.deserialize(json);
if (params != null) {
params.setNetworkViewID(netView.getSUID());
controlPanelMediatorProvider.get().reset(params);
}
}
}
}
}
}
}
use of org.cytoscape.model.CyRow in project EnrichmentMapApp by BaderLab.
the class TestUtils method getSignatureEdges.
public static Map<String, CyEdge> getSignatureEdges(CyNetwork network, String prefix, String sigSetName) {
Map<String, CyEdge> edges = new HashMap<>();
for (CyEdge edge : network.getEdgeList()) {
CyRow row = network.getRow(edge);
String sigName = Columns.EDGE_SIG_DATASET.get(row, prefix);
if (sigName != null && sigName.equals(sigSetName)) {
edges.put(row.get(CyNetwork.NAME, String.class), edge);
}
}
return edges;
}
use of org.cytoscape.model.CyRow in project EnrichmentMapApp by BaderLab.
the class LegacySessionLoadTest method test_1_LoadedLegacyData.
@Test
@SessionFile("em_session_2.2.cys")
public void test_1_LoadedLegacyData() throws Exception {
EnrichmentMap map = getEnrichmentMap();
assertEquals("EM1_Enrichment Map", map.getName());
CyNetwork network = networkManager.getNetwork(map.getNetworkID());
assertNotNull(network);
assertEquals(1, map.getDataSetCount());
assertEquals(14067, map.getNumberOfGenes());
assertEquals(14067, map.getAllGenes().size());
// Number of edges: 3339 - that's how many geneset similarity objects there should be!!!
CyTable edgeTable = network.getDefaultEdgeTable();
assertEquals(3339, edgeTable.getRowCount());
EMCreationParameters params = map.getParams();
String prefix = params.getAttributePrefix();
assertEquals("EM1_", prefix);
assertEquals(0.5, params.getCombinedConstant(), 0.0);
assertFalse(params.isEMgmt());
assertEquals("Geneset_Overlap", params.getEnrichmentEdgeType());
assertTrue(params.isFDR());
assertEquals(GreatFilter.HYPER, params.getGreatFilter());
assertEquals(0.005, params.getPvalue(), 0.0);
assertEquals(1.0, params.getPvalueMin(), 0.0);
assertEquals(0.1, params.getQvalue(), 0.0);
assertEquals(1.0, params.getQvalueMin(), 0.0);
assertEquals(0.5, params.getSimilarityCutoff(), 0.0);
assertEquals(SimilarityMetric.OVERLAP, params.getSimilarityMetric());
// assertFalse(params.isDistinctExpressionSets());
String geneset1 = "RESOLUTION OF SISTER CHROMATID COHESION%REACTOME%REACT_150425.2";
String geneset2 = "CHROMOSOME, CENTROMERIC REGION%GO%GO:0000775";
Collection<CyRow> rows = edgeTable.getMatchingRows(CyNetwork.NAME, geneset1 + " (Geneset_Overlap) " + geneset2);
assertEquals(1, rows.size());
CyRow row = rows.iterator().next();
assertEquals("Geneset_Overlap", row.get(CyEdge.INTERACTION, String.class));
assertEquals(0.6097560975609756, EMStyleBuilder.Columns.EDGE_SIMILARITY_COEFF.get(row, prefix), 0.0);
EMDataSet dataset = map.getDataSet("Dataset 1");
assertNotNull(dataset);
assertSame(map, dataset.getMap());
assertEquals(Method.GSEA, dataset.getMethod());
assertEquals(12653, dataset.getDataSetGenes().size());
assertEquals(389, dataset.getGeneSetsOfInterest().getGeneSets().size());
// assertEquals(17259, dataset.getSetofgenesets().getGenesets().size()); // MKTODO why? what is this used for
assertEndsWith(dataset.getSetOfGeneSets().getFilename(), "Human_GO_AllPathways_no_GO_iea_April_15_2013_symbol.gmt");
for (long suid : dataset.getNodeSuids()) {
assertNotNull(network.getNode(suid));
}
GeneSet geneset = dataset.getGeneSetsOfInterest().getGeneSets().get("NCRNA PROCESSING%GO%GO:0034470");
assertEquals(88, geneset.getGenes().size());
assertEquals("NCRNA PROCESSING%GO%GO:0034470", geneset.getName());
assertEquals("ncRNA processing", geneset.getDescription());
assertEquals(Optional.of("GO"), geneset.getSource());
SetOfEnrichmentResults enrichments = dataset.getEnrichments();
assertEquals(4756, enrichments.getEnrichments().size());
assertEndsWith(enrichments.getFilename1(), "gsea_report_for_ES12_1473194913081.xls");
assertEndsWith(enrichments.getFilename2(), "gsea_report_for_NT12_1473194913081.xls");
assertEquals("ES12", enrichments.getPhenotype1());
assertEquals("NT12", enrichments.getPhenotype2());
EnrichmentResult result = enrichments.getEnrichments().get("RIBONUCLEOSIDE TRIPHOSPHATE BIOSYNTHETIC PROCESS%GO%GO:0009201");
assertTrue(result instanceof GSEAResult);
GSEAResult gseaResult = (GSEAResult) result;
assertEquals("RIBONUCLEOSIDE TRIPHOSPHATE BIOSYNTHETIC PROCESS%GO%GO:0009201", gseaResult.getName());
assertEquals(0.42844063, gseaResult.getES(), 0.0);
assertEquals(0.45225498, gseaResult.getFdrqvalue(), 0.0);
assertEquals(1.0, gseaResult.getFwerqvalue(), 0.0);
assertEquals(23, gseaResult.getGsSize());
assertEquals(1.1938541, gseaResult.getNES(), 0.0);
assertEquals(0.2457786, gseaResult.getPvalue(), 0.0);
assertEquals(4689, gseaResult.getRankAtMax());
assertEquals(Optional.of("GO"), gseaResult.getSource());
GeneExpressionMatrix expressions = dataset.getExpressionSets();
assertEquals(20326, expressions.getExpressionUniverse());
assertEquals(3.686190609, expressions.getClosesttoZero(), 0.0);
// assertEndsWith(expressions.getFilename(), "MCF7_ExprMx_v2_names.gct");
assertEquals(15380.42388, expressions.getMaxExpression(), 0.0);
assertEquals(3.686190609, expressions.getMinExpression(), 0.0);
assertEquals(20, expressions.getNumConditions());
assertEquals(12653, expressions.getExpressionMatrix().size());
assertEquals(12653, expressions.getExpressionMatrix_rowNormalized().size());
GeneExpression expression = expressions.getExpressionMatrix().get(0);
assertEquals("MOCOS", expression.getName());
assertEquals("MOCOS (molybdenum cofactor sulfurase)", expression.getDescription());
assertEquals(18, expression.getExpression().length);
Ranking ranking = expressions.getRanks().get("GSEARanking");
assertEquals(12653, ranking.getAllRanks().size());
assertEquals(12653, ranking.getRanking().size());
Rank rank = ranking.getRanking().get(0);
assertEquals("MOCOS", rank.getName());
assertEquals(1238, rank.getRank().intValue());
assertEquals(0.54488367, rank.getScore(), 0.0);
DataSetFiles files = dataset.getDataSetFiles();
assertEndsWith(files.getClassFile(), "ES_NT.cls");
assertEndsWith(files.getEnrichmentFileName1(), "gsea_report_for_ES12_1473194913081.xls");
assertEndsWith(files.getEnrichmentFileName2(), "gsea_report_for_NT12_1473194913081.xls");
// assertEndsWith(files.getExpressionFileName(), "MCF7_ExprMx_v2_names.gct");
assertEndsWith(files.getGMTFileName(), "Human_GO_AllPathways_no_GO_iea_April_15_2013_symbol.gmt");
assertEndsWith(files.getGseaHtmlReportFile(), "estrogen_treatment_12hr_gsea_enrichment_results.Gsea.1473194913081/index.html");
assertEndsWith(files.getRankedFile(), "ranked_gene_list_ES12_versus_NT12_1473194913081.xls");
assertEquals("ES12", files.getPhenotype1());
assertEquals("NT12", files.getPhenotype2());
}
use of org.cytoscape.model.CyRow in project EnrichmentMapApp by BaderLab.
the class BaseIntegrationTest method assertEdgeTableRowsEqual.
/**
* For edges we need to ignore the directionality.
*/
private void assertEdgeTableRowsEqual(List<CyColumn> expectedColumns, List<CyRow> expectedRows, List<CyRow> actualRows) {
Set<String> columnsToIgnore = ImmutableSet.of(CyNetwork.NAME, CyRootNetwork.SHARED_NAME);
List<CyColumn> columnsToTest = expectedColumns.stream().filter(c -> !columnsToIgnore.contains(c.getName())).collect(Collectors.toList());
Map<SimilarityKey, CyRow> expectedRowsByKey = new HashMap<>();
for (CyRow row : expectedRows) {
SimilarityKey key = SimilarityKey.parse(row.get(CyNetwork.NAME, String.class));
expectedRowsByKey.put(key, row);
}
for (CyRow actual : actualRows) {
SimilarityKey key = SimilarityKey.parse(actual.get(CyNetwork.NAME, String.class));
CyRow expected = expectedRowsByKey.remove(key);
assertNotNull(key.toString(), expected);
assertAttributesEqual(columnsToTest, expected, actual);
}
assertTrue(expectedRowsByKey.isEmpty());
}
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