/*
* PCACodonModel.java
*
* Copyright (c) 2002-2016 Alexei Drummond, Andrew Rambaut and Marc Suchard
*
* This file is part of BEAST.
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* BEAST is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* BEAST 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 Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with BEAST; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package dr.evomodel.substmodel.codon;
import dr.evolution.datatype.Codons;
import dr.evomodelxml.substmodel.PCACodonModelParser;
import dr.evomodel.substmodel.*;
import dr.inference.model.Parameter;
/**
* PCA model of codon evolution
*
* @author Stefan Zoller
*/
public class PCACodonModel extends BaseSubstitutionModel {
// principal components, means, scale factors
protected AbstractPCARateMatrix rateMatrix;
protected byte[] rateMap;
protected Parameter pcFactors;
/**
* constructors
*
* @param codonDataType Data type as Codons.UNIVERSAL
* @param pcaType Rate matrix with PCs, means, scale factors
* @param pcaDimensionParameter Scalars for PCs
* @param freqModel Frequency model
*/
public PCACodonModel(Codons codonDataType, AbstractPCARateMatrix pcaType, Parameter pcaDimensionParameter,
FrequencyModel freqModel) {
this(codonDataType, pcaType, pcaDimensionParameter, freqModel,
new DefaultEigenSystem(codonDataType.getStateCount()));
}
public PCACodonModel(Codons codonDataType,
AbstractPCARateMatrix pcaType,
Parameter pcaDimensionParameter,
FrequencyModel freqModel,
EigenSystem eigenSystem)
{
super(PCACodonModelParser.PCA_CODON_MODEL, codonDataType, freqModel, eigenSystem);
this.rateMatrix = pcaType;
this.pcFactors = pcaDimensionParameter;
addVariable(pcFactors);
pcFactors.addBounds(new Parameter.DefaultBounds(Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY,
pcFactors.getDimension()));
// initialize scalars for principal components
double[] startFacs = pcaType.getStartFacs();
double facSum = 0.0;
for(int i=0; i<pcFactors.getDimension(); i++) {
facSum += startFacs[i];
}
for(int i=0; i<pcFactors.getDimension(); i++) {
pcFactors.setParameterValueQuietly(i, startFacs[i]/facSum);
}
}
// setup substitution matrix
public void setupRelativeRates(double[] rates) {
double[] m = rateMatrix.getMeans();
double[] sc = rateMatrix.getScales();
for (int i = 0; i < rateCount; i++) {
rates[i] = m[i];
}
for(int j = 0; j < pcFactors.getDimension(); j++) {
double[] pc = rateMatrix.getPCAt(j);
double factor = getPcFactor(j);
for (int i = 0; i < rateCount; i++) {
rates[i] += factor*pc[i]*sc[i];
}
}
for (int i = 0; i < rateCount; i++) {
if(rates[i] < Double.MIN_VALUE) {
rates[i] = Double.MIN_VALUE;
}
}
return;
}
protected void ratesChanged() {
}
protected void frequenciesChanged() {
}
/**
* Getter and setter for Parameter pcFactor
*/
public double getPcFactor(int dim) {
return pcFactors.getParameterValue(dim);
}
public double[] getPcFactor() {
return pcFactors.getParameterValues();
}
public void setPcFactor(int dim, double fac) {
pcFactors.setParameterValue(dim, fac);
updateMatrix = true;
}
public void setPcFactor(double[] fac) {
for(int i=0; i<pcFactors.getDimension(); i++) {
pcFactors.setParameterValue(i, fac[i]);
}
updateMatrix = true;
}
// **************************************************************
// XHTMLable IMPLEMENTATION
// **************************************************************
public String toXHTML() {
StringBuffer buffer = new StringBuffer();
buffer.append("<em>PCA Codon Model</em>");
return buffer.toString();
}
}