/* * #%L * org.gitools.matrix * %% * Copyright (C) 2013 - 2016 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.matrix.transform; import org.gitools.api.ApplicationContext; import org.gitools.api.analysis.IAggregator; import org.gitools.api.analysis.IProgressMonitor; import org.gitools.api.matrix.*; import org.gitools.matrix.model.MatrixLayer; import org.gitools.matrix.transform.parameters.AggregatorParameter; import org.gitools.utils.aggregation.MeanAggregator; import org.gitools.utils.aggregation.MedianAggregator; import org.gitools.utils.aggregation.StdDevAggregator; public class ZScoreFunction extends ConfigurableTransformFunction { public static final String AGGREGATION_PARAM = "Aggregation"; AggregatorParameter aggregatorParameter; private IProgressMonitor monitor; private Double estimator; private Double stdDev; public ZScoreFunction() { super("Fold-Change"); } @Override public Double apply(Double value, IMatrixPosition position) { if (estimator == null || stdDev == null || value == null) { return null; } else { return (value - estimator) / stdDev; } } @Override public void onBeforeIterate(IMatrixIterable<Double> parentIterable) { super.onBeforeIterate(parentIterable); monitor = ApplicationContext.getProgressMonitor().subtask(); IMatrix matrix = parentIterable.getPosition().getMatrix(); IMatrixLayer aggLayer = new MatrixLayer("agg", Double.class); estimator = aggregatorParameter.getParameterValue().aggregate(parentIterable); stdDev = StdDevAggregator.INSTANCE.aggregate(parentIterable); monitor.end(); } @Override public ZScoreFunction createNew() { return new ZScoreFunction(); } @Override protected void createDefaultParameters() { aggregatorParameter = new AggregatorParameter(); aggregatorParameter.setDescription("Select if the fold change should be calculated with the row/column median or mean"); IAggregator[] iAggregators = { MedianAggregator.INSTANCE, MeanAggregator.INSTANCE }; aggregatorParameter.setChoices(iAggregators); addParameter(AGGREGATION_PARAM, aggregatorParameter); } public String getName() { return "Z-score"; } public String getDescription() { return "The Z-score reflects the relationship to the estimator of all values"; } }