Java tutorial
/* * This file is part of LinkImputeR. * * LinkImputeR 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. * * LinkImputeR 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 LinkImpute. If not, see <http://www.gnu.org/licenses/>. */ package Callers; import Utils.Progress.Progress; import Utils.Progress.ProgressFactory; import Utils.SingleGenotype.SingleGenotypeProbability; import Utils.SingleGenotype.SingleGenotypeReads; import java.util.ArrayList; import java.util.List; import java.util.stream.Collectors; import java.util.stream.IntStream; import org.apache.commons.configuration2.tree.ImmutableNode; /** * Represents a genotype caller * @author Daniel Money * @version 1.1.3 */ public abstract class Caller { /** * Call a single genotype * @param reads Array of size two with the reads for the two alleles * @param sample The index of the sample of the genotype in the genotype table * @param snp The index of tht snp of the genotypes in the genotype table * @return The probability of each genotype (size 3 - genotype 0, 1, 2) */ public abstract double[] callSingle(int[] reads, int sample, int snp); /** * Calls genotypes for every genotype * @param reads Array of reads, dimensions are number of positions, number * of snps, 2 (i.e. counts for each allele) * @return The probability of each genotypes */ public double[][][] call(int[][][] reads) { double[][][] probs = new double[reads.length][][]; Progress progress = ProgressFactory.get(reads.length); IntStream.range(0, reads.length).parallel().forEach(i -> { int[][] d = reads[i]; double[][] p = new double[d.length][]; probs[i] = p; IntStream.range(0, d.length).forEach(j -> p[j] = callSingle(reads[i][j], i, j)); progress.done(); }); return probs; } /** * Call the selected genotypes * @param list The genotypes to call * @return The probabilities of each genotype */ public List<SingleGenotypeProbability> call(List<SingleGenotypeReads> list) { Progress progress = ProgressFactory.get(list.size()); return list.stream().parallel().map(sgr -> { SingleGenotypeProbability sgp = new SingleGenotypeProbability(sgr.getSample(), sgr.getSNP(), callSingle(sgr.getReads(), sgr.getSample(), sgr.getSNP())); progress.done(); return sgp; }).collect(Collectors.toCollection(ArrayList::new)); } /** * Get the config for the caller * @return The config */ public abstract ImmutableNode getConfig(); }