Java tutorial
/* * The MIT License (MIT) * * Copyright (c) 2011-2015 Broad Institute, Aiden Lab * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. */ package juicebox.tools.utils.juicer.arrowhead; import com.google.common.collect.Lists; import com.google.common.primitives.Doubles; import juicebox.tools.utils.common.MatrixTools; import org.apache.commons.math.linear.RealMatrix; import java.awt.*; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.Set; /** * Created by muhammadsaadshamim on 6/5/15. */ class BlockResults { private ArrowheadScoreList internalList; private ArrowheadScoreList internalControl; private List<HighScore> results = new ArrayList<HighScore>(); public BlockResults(RealMatrix observed, double varThreshold, double signThreshold, ArrowheadScoreList list, ArrowheadScoreList control, int limStart, int limEnd) { int n = Math.min(observed.getRowDimension(), observed.getColumnDimension()); int gap = 7; RealMatrix dUpstream = calculateDirectionalityIndexUpstream(observed, n, gap); MatrixTriangles triangles = new MatrixTriangles(dUpstream); triangles.generateBlockScoreCalculations(); internalList = triangles.updateScoresUsingList(list, limStart, limEnd); internalControl = triangles.updateScoresUsingList(control, limStart, limEnd); triangles.thresholdScoreValues(varThreshold, signThreshold); List<Set<Point>> connectedComponents = triangles.extractConnectedComponents(); //System.out.println("CC "+connectedComponents.size()); results = triangles.calculateResults(connectedComponents); } /** * calculate D upstream, directionality index upstream * * @param observed * @param n * @param gap * @return dUpstream */ private RealMatrix calculateDirectionalityIndexUpstream(RealMatrix observed, int n, int gap) { RealMatrix dUpstream = MatrixTools.cleanArray2DMatrix(n); for (int i = 0; i < n; i++) { // choose smaller window of two: from 0 to (i-gap) or from (i+gap) to n int window = Math.min(n - (i + gap), i - gap); window = Math.min(window, n); if (window >= gap) { double[] row = observed.getRow(i); // in MATLAB second index inclusive, but for java need +1 double[] A = Doubles .toArray(Lists.reverse(Doubles.asList(Arrays.copyOfRange(row, i - window, i - gap + 1)))); double[] B = Arrays.copyOfRange(row, i + gap, i + window + 1); double[] preference = new double[A.length]; for (int j = 0; j < A.length; j++) { preference[j] = (A[j] - B[j]) / (A[j] + B[j]); } int index = 0; for (int j = i + gap; j < i + window + 1; j++) { dUpstream.setEntry(i, j, preference[index]); index++; } } } return dUpstream; } /** * @return block results */ public List<HighScore> getResults() { return results; } public ArrowheadScoreList getInternalList() { return internalList; } public ArrowheadScoreList getInternalControl() { return internalControl; } public void offsetResultsIndex(int offset) { for (HighScore score : results) { score.offsetIndex(offset); } } }