File: MarkerCluster.java

package info (click to toggle)
beagle 220722-1
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 9,644 kB
  • sloc: java: 17,045; sh: 55; makefile: 11
file content (189 lines) | stat: -rw-r--r-- 6,706 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
/*
 * Copyright (C) 2014-2021 Brian L. Browning
 *
 * This file is part of Beagle
 *
 * Beagle 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.
 *
 * Beagle 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/>.
 */
package phase;

import blbutil.FloatArray;
import ints.IntArray;
import ints.IntList;
import ints.WrappedIntArray;

/**
 * <p>Class {@code MarkerCluster} represents a partition of markers into
 * contiguous marker clusters.</p>
 *
 * <p>Instances of class {@code MarkerCluster} are immutable.</p>
 *
 * @author Brian L. Browning {@code <browning@uw.edu>}
 */
public class MarkerCluster {

    private final int[] clusterToEnd;
    private final IntArray hetClusters;
    private final int nMissingGTClusters;
    private final boolean[] clustHasMissingGT;
    private final FloatArray pRecomb;

    /**
     * Constructs a new {@code MarkerCluster} instance from the specified data.
     *
     * @param phaseData the input data for the next genotype phasing iteration
     * @param sample a sample index
     * @throws IndexOutOfBoundsException if
     * {@code sample < 0 || sample >= phaseData.targGT().nSamples()}
     * @throws NullPointerException if {@code phaseData == null}
     */
    public MarkerCluster(PhaseData phaseData, int sample) {
        SamplePhase samplePhase = phaseData.estPhase().get(sample);
        this.clusterToEnd = samplePhase.clustEnds();
        this.hetClusters = unphHetClusters(samplePhase, clusterToEnd);
        boolean[] hasMissingGT = new boolean[clusterToEnd.length];
        this.nMissingGTClusters = setClustHasMissingGT(samplePhase.missing(),
                clusterToEnd, hasMissingGT);
        this.clustHasMissingGT = hasMissingGT;
        this.pRecomb = pClustRecomb(phaseData.pRecomb(), clusterToEnd);
    }

    private static IntArray unphHetClusters(SamplePhase samplePhase,
            int[] clustToEnd) {
        IntArray unph = samplePhase.unphased();
        int nUnph = unph.size();
        IntList hetClusters = new IntList(nUnph);
        int unphIndex = 0;
        int nextUnph = unphIndex<nUnph ? unph.get(unphIndex++) : Integer.MAX_VALUE;
        for (int j=0; j<clustToEnd.length; ++j) {
            int clustEnd = clustToEnd[j];
            if (nextUnph<clustEnd) {
                hetClusters.add(j);
                nextUnph = unphIndex<nUnph ? unph.get(unphIndex++) : Integer.MAX_VALUE;
                while (nextUnph<clustEnd) {
                    nextUnph = unphIndex<nUnph ? unph.get(unphIndex++) : Integer.MAX_VALUE;
                }
            }
        }
        return new WrappedIntArray(hetClusters);
    }

    private static int setClustHasMissingGT(IntArray missGTList,
            int[] cluster2End, boolean[] clustHasMissingGT) {
        int missCnt = 0;
        int i = 0;
        int nMissGT = missGTList.size();
        for (int c=0; c<cluster2End.length; ++c) {
            int end = cluster2End[c];
            for ( ; i<nMissGT && missGTList.get(i)<end; ++i) {
                clustHasMissingGT[c] = true;
            }
            if (clustHasMissingGT[c]) {
                ++missCnt;
            }
        }
        return missCnt;
    }

    private static FloatArray pClustRecomb(FloatArray pRecomb,
            int[] cluster2End) {
        int nClusters = cluster2End.length;
        float[] pClustRecomb = new float[nClusters];
        int start = 0;
        for (int j=1; j<nClusters; ++j) {
            int end = cluster2End[j];
            float pNoRecomb = 1.0f;
            for (int k=start; k<end; ++k) {
                pNoRecomb *= (1.0f - pRecomb.get(k));
            }
            pClustRecomb[j] = 1.0f - pNoRecomb;
            start = end;
        }
        return new FloatArray(pClustRecomb);
    }

    /**
     * Returns the number of clusters
     * @return the number of clusters
     */
    public int nClusters() {
        return clusterToEnd.length;
    }

    /**
     * Returns the inclusive start marker for the cluster.
     * @param index a cluster index
     * @return the inclusive start marker for the cluster
     * @throws IndexOutOfBoundsException if
     * {@code index < 0 || index >= this.nClusteres()}
     */
    public int clusterStart(int index) {
        return index==0 ? 0 : clusterToEnd[index-1];
    }

    /**
     * Returns the exclusive end marker for the cluster.
     * @param index a cluster index
     * @return the exclusive marker for the cluster
     * @throws IndexOutOfBoundsException if
     * {@code index < 0 || index >= this.nClusteres()}
     */
    public int clusterEnd(int index) {
        return clusterToEnd[index];
    }

    /**
     * Return a {@code FloatArray} of size {@code this.nClusters()}
     * whose {@code k}-th element is the probability of transitioning to a
     * random HMM state between the {@code k}-th cluster and the
     * previous cluster.
     * @return a {@code FloatArray} of size {@code this.nClusters()}
     * whose {@code k}-th element is the probability of transitioning to a
     * random HMM state between the {@code k}-th cluster and the
     * previous cluster
     */
    public FloatArray pRecomb() {
        return pRecomb;
    }

    /**
     * Returns a sorted list of cluster indices in increasing order for which
     * the cluster contains an unphased heterozygote.
     * @return a sorted list of cluster indices in increasing order for which
     * the cluster contains an unphased heterozygote
     */
    public IntArray unphClusters() {
        return hetClusters;
    }

    /**
     * Returns {@code true} if the cluster has at least one missing genotype,
     * and returns {@code false} otherwise.
     * @param index a cluster index
     * @return {@code true} if the cluster has at least one missing genotype
     * @throws IndexOutOfBoundsException if
     * {@code index < 0 || index >= this.nClusters()}
     */
    public boolean clustHasMissingGT(int index) {
        return clustHasMissingGT[index];
    }

    /**
     * Returns the number of clusters containing at least one missing genotype.
     * @return the number of clusters with at least one missing genotype
     */
    public int nMissingGTClusters() {
        return nMissingGTClusters;
    }
}