/* * #%L * gitools-core * %% * Copyright (C) 2013 Universitat Pompeu Fabra - Biomedical Genomics group * %% * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as * published by the Free Software Foundation, either version 3 of the * License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public * License along with this program. If not, see * <http://www.gnu.org/licenses/gpl-3.0.html>. * #L% */ package org.gitools.analysis.clustering.annotations; import org.gitools.analysis.clustering.AbstractClusteringMethod; import org.gitools.analysis.clustering.ClusteringData; import org.gitools.analysis.clustering.GenericClusteringResults; import org.gitools.api.analysis.Clusters; import org.gitools.api.analysis.IProgressMonitor; import java.util.HashMap; import java.util.HashSet; import java.util.Map; import java.util.Set; public class AnnPatClusteringMethod extends AbstractClusteringMethod { private String labelPrefix; public AnnPatClusteringMethod(String labelPrefix) { super("Pattern annotation"); this.labelPrefix = labelPrefix; } public AnnPatClusteringMethod() { this(""); } public void setPattern(String pattern) { String pattern1 = pattern; } /** * Execute the clustering and return the results */ @Override public Clusters cluster(ClusteringData data, IProgressMonitor monitor) { monitor.begin("Clustering by annotations", data.getSize() + 1); Map<String, Set<String>> clusters = new HashMap<>(); for (String item : data.getLabels()) { if (monitor.isCancelled()) { return null; } String clusterName = data.getInstance(item).getTypedValue(0, String.class); if (AnnPatClusteringData.NA.equals(clusterName)) { monitor.worked(1); continue; } clusterName = labelPrefix + clusterName; Set<String> items = clusters.get(clusterName); if (items == null) { items = new HashSet<>(); clusters.put(clusterName, items); } items.add(item); monitor.worked(1); } if (monitor.isCancelled()) { return null; } return new GenericClusteringResults(clusters); } }