libbpp-seq-dev 2.0.3-1 / usr / include / Bpp / Seq / StateProperties / GranthamAAChemicalDistance.h

//
// File: GranthamAAChemicalDistance.h
// Created by: Julien Dutheil
// Created on: Mon Feb 21 17:42 2005
//

/*
Copyright or © or Copr. CNRS, (November 17, 2004)

This software is a computer program whose purpose is to provide classes
for sequences analysis.

This software is governed by the CeCILL  license under French law and
abiding by the rules of distribution of free software.  You can  use, 
modify and/ or redistribute the software under the terms of the CeCILL
license as circulated by CEA, CNRS and INRIA at the following URL
"http://www.cecill.info". 

As a counterpart to the access to the source code and  rights to copy,
modify and redistribute granted by the license, users are provided only
with a limited warranty  and the software's author,  the holder of the
economic rights,  and the successive licensors  have only  limited
liability. 

In this respect, the user's attention is drawn to the risks associated
with loading,  using,  modifying and/or developing or reproducing the
software by the user in light of its specific status of free software,
that may mean  that it is complicated to manipulate,  and  that  also
therefore means  that it is reserved for developers  and  experienced
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*/

#ifndef _GRANTHAMAACHEMICALDISTANCE_H_
#define _GRANTHAMAACHEMICALDISTANCE_H_

// from the STL:
#include <string>

#include "../StateProperties/AlphabetIndex2.h"
#include "../Alphabet/ProteicAlphabet.h"
#include "../Alphabet/AlphabetExceptions.h"
#include <Bpp/Exceptions.h>
#include <Bpp/Numeric/Matrix/Matrix.h>

namespace bpp
{

/**
 * @brief Grantham (1974) Amino-Acid chemical distance.
 *
 * Two kinds of matrix can be built:
 * - a symmetric one, with \f$I_{i,j} = I_{i,j}\f$,
 * - or a non-symmetric one, with \f$I_{i,j} = -I_{i,j}\f$.
 * In the second case, which one of the two entries between \f$I_{i,j}\f$ and \f$I_{i,j}\f$ is positive is arbitrary by default.
 * It is also possible to use the coordinate on a principal component analysis between the elementary propoerties of the distance instead (setPC1Sign(true)).
 * The following R code was use in order to get those signs:
 * @code
 * library(seqinr)
 * data(aaindex)
 * data<-data.frame(composition=aaindex[["GRAR740101"]]$I,
 *                     polarity=aaindex[["GRAR740102"]]$I,
 *                       volume=aaindex[["GRAR740103"]]$I)
 * library(ade4)
 * pca<-dudi.pca(data)
 *
 * plot(pca$li[, 1:2], type="n")
 * text(pca$li[, 1:2], rownames(data))
 *
 * s.corcircle(pca$co)
 * layout(matrix(1:3,nrow=1))
 * a1<-pca$li[,1]; names(a1)<-rownames(data); dotchart(sort(a1))
 * a2<-pca$li[,2]; names(a2)<-rownames(data); dotchart(sort(a2))
 * a3<-pca$li[,3]; names(a3)<-rownames(data); dotchart(sort(a3))
 *
 * x<-pca$li[,1] #Contains the coordinates on the first axis.
 * m<-matrix(nrow=20, ncol=20)
 * for(i in 1:length(x))
 *   for(j in 1:length(x))
 *     m[i,j]<-sign(x[j] - x[i])
 *
 * @endcode
 *   
 * Reference:
 * Grantham, R.
 * Amino acid difference formula to help explain protein evolution
 * Science 185, 862-864 (1974)
 *
 * Data from AAIndex2 database, Accession Number GRAR740104.
 */
class GranthamAAChemicalDistance :
  public AlphabetIndex2<double>
{
	private:
		LinearMatrix<double> distanceMatrix_;
		LinearMatrix<double> signMatrix_;
		const ProteicAlphabet* alpha_;
		short int sign_;

	public:
		GranthamAAChemicalDistance();
		
    GranthamAAChemicalDistance(const GranthamAAChemicalDistance& gd):
      distanceMatrix_(gd.distanceMatrix_),
      signMatrix_(gd.signMatrix_),
      alpha_(gd.alpha_),
      sign_(gd.sign_)
    {}
    
    GranthamAAChemicalDistance& operator=(const GranthamAAChemicalDistance& gd)
    {
      distanceMatrix_ = gd.distanceMatrix_;
      signMatrix_ = gd.signMatrix_;
      alpha_ = gd.alpha_;
      sign_ = gd.sign_;
      return *this;
    }
		
    virtual ~GranthamAAChemicalDistance();

	public:
		/**
		 * @name Methods from the AlphabetIndex2 interface.
		 *
		 * @{
		 */
		double getIndex(int state1, int state2) const throw (BadIntException);
		double getIndex(const std::string& state1, const std::string& state2) const throw (BadCharException);
		const Alphabet* getAlphabet() const { return alpha_; };
		GranthamAAChemicalDistance* clone() const { return new GranthamAAChemicalDistance(); }
		Matrix<double>* getIndexMatrix() const;
		/** @} */

	public:
		void setSymmetric(bool yn) { sign_ = (yn ? SIGN_NONE : SIGN_ARBITRARY); }
		bool isSymmetric() const { return sign_ == SIGN_NONE; }
    /**
     * @brief The sign of the distance is computed using the coordinate on the first axis
     * of a principal component analysis with the 3 elementary properties (Volume, Polarity, Composition).
     * Otherwise, use the default arbitrary sign. Using this option will lead isSymmetric to return false.
     *
     * @param yn Tell is the PC1-based sign should be used instead of the arbitrary one.
     */
    void setPC1Sign(bool yn) { sign_ = (yn ? SIGN_PC1 : SIGN_ARBITRARY); }

    static short int SIGN_ARBITRARY;
    static short int SIGN_PC1;
    static short int SIGN_NONE;

};

} //end of namespace bpp.

#endif //_GRANTHAMAACHEMICALDISTANCE_H_