StochasticMapping.h

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// SPDX-FileCopyrightText: The Bio++ Development Group
//
// SPDX-License-Identifier: CECILL-2.1
 
#ifndef BPP_PHYL_MAPPING_STOCHASTICMAPPING_H
#define BPP_PHYL_MAPPING_STOCHASTICMAPPING_H
 
 
#include "../Likelihood/DataFlow/DataFlowCWise.h"
#include "../Likelihood/DataFlow/LikelihoodCalculationSingleProcess.h"
#include "../Simulation/MutationProcess.h"
#include "../Simulation/SubstitutionProcessSequenceSimulator.h"
 
// From the STL:
#include <iostream>
#include <iomanip>
#include <map>
 
using namespace std;
 
/* Store the countings on a DAG similar to the computing DAG */
 
 
typedef vector<vector<vector<double>>> VVVDouble;
typedef vector<vector<double>> VVDouble;
typedef vector<double> VDouble;
 
/* class for representing the framework of Stochastic mapping
 *
 *   A StochasticMapping instance can be used to sample histories of
 *   state transitions along a tree, given a substitution model and the
 *   states at the tip taxa. For more information, see: Nielsen, Rasmus.
 *   "Mapping mutations on phylogenies." Systematic biology 51.5 (2002):
 *   729-739.‏
 */
 
namespace bpp
{
class StochasticMapping
{
protected:
  /*
   * @brief The tree likelihood instance is used for computing the
   * the conditional sampling probabilities of the ancestral states as
   * well as the root assignment probabilities.
   *
   */
 
  std::shared_ptr<LikelihoodCalculationSingleProcess> likelihood_;
 
  std::shared_ptr<PhyloTree> tree_;
 
  /*
   * @brief this instance will hold the parameters required for the
   * stochastic mapping procedure, and be used to generate stochastic
   * mappings.
   */
 
//    SimpleSubstitutionProcessSequenceSimulator mappingParameters_;
 
  /*
   * @briefvector that holds the fractional probabilities per state
   * per node in the tree, based on which the conditional and
   * posterior probabilities are computed
   *
   */
 
  VVDouble fractionalProbabilities_;
 
  VVVDouble ConditionalProbabilities_;             // vector that holds the conditionl states assignment probabilities of the nodes in the tree (node*father_states*son_states)
  size_t nodesCounter_;                            // counter of nodes hat allows adding unique names to the generated nodes while breaking branching in a mapping
  size_t numOfMappings_;                           // the number of stochastic mappings to generate
 
public:
  /* constructors and destructors */
 
  explicit StochasticMapping(std::shared_ptr<LikelihoodCalculationSingleProcess> drl, size_t numOfMappings = 10000); // it is a good general practice to use "explicit" keyword on constructors with a single argument: https://stackoverflow.com/questions/121162/what-does-the-explicit-keyword-mean
 
  ~StochasticMapping();
 
  StochasticMapping(const StochasticMapping& sm) :
    likelihood_(sm.likelihood_),
    tree_(sm.tree_),
//      mappingParameters_(likelihood_->getSubstitutionProcess()),
    fractionalProbabilities_(sm.fractionalProbabilities_),
    ConditionalProbabilities_(sm.ConditionalProbabilities_),
    nodesCounter_(0), numOfMappings_(sm.numOfMappings_)
  { }
 
  StochasticMapping* clone() const { return new StochasticMapping(*this); }
 
 
  /*
   * @brief generates a stochastic mappings based on the sampling
   * parameters
   *
   * @param     Number of histories to sample
   * @param mappings          Vector of shared Trees  that will hold the sampled stochastic mappings.
   *
   */
 
  void generateStochasticMapping(std::vector<std::shared_ptr<PhyloTree>>& mappings);
 
  std::shared_ptr<PhyloTree> generateExpectedMapping(std::vector<std::shared_ptr<PhyloTree>>& mappings, size_t divMethod = 0);
 
  std::shared_ptr<PhyloTree> generateAnalyticExpectedMapping(size_t divMethod = 0);
 
  /* extracts the state of a node in a mapping
   * @param node              The node to get the state of
   * @return                  Node state is int
   */
 
  int getNodeState(const PhyloNode* node) const;
 
private:
  /* adds names to the internal nodes, in case of absence.
   * @param tree               The tree whose nodes should be edited if needed.
   */
  void giveNamesToInternalNodes(PhyloTree& tree);
 
  /* sets the state of a node in a mapping
   * @param node               The node to get the state of
   * @param state              The state that needs to be assigned to the node
   */
  void setNodeState(PhyloNode* node, size_t state);
 
  /* set the character states of the leafs as properties of their nodes instances
   * @param mapping - the tree to sets the properties in
   */
  void setLeafsStates(std::shared_ptr<PhyloTree> mapping);
 
  /* compute the fractional probabilities of all the nodes assignments
   * @param                     A vector of the fractional probabilities probabilities to fill in (node**state combinaion in each entry)
   */
  void computeFractionals();
 
  /* compute the conditional probabilities of all the nodes assignments
   * @param rootProbabilities  The root frequencies
   */
  void ComputeConditionals();
 
  /* compute the ancestral frequenceis of character states of all the nodes based on the mappings
   * @param                     A vector of the posterior probabilities probabilities to fill in (node**state combinaion in each entry)
   * @param                     A vector of mappings to base the frequencies on
   */
  void computeStatesFrequencies(VVDouble& ancestralStatesFreuquencies, vector<shared_ptr<PhyloTree>>& mappings);
 
  /* auxiliary function that samples a state based on a given discrete distribution
   * @param distibution       The distribution to sample states based on
   */
  size_t sampleState(const VDouble& distibution); // k: best by ref
 
  /* samples ancestral states based on the conditional probabilities at each node in the base (user input) tree and the root assignment probabilities. States will be updated as nodes properties
   * @param mapping               The tree whose nodes names should be updated according to their assigned states.
   */
  void sampleAncestrals(shared_ptr<PhyloTree> mapping);
 
  /* set ancestral states in the expected history based on the conditional probabilities at each node in the base (user input) tree and the root assignment probabilities. States will be updated as nodes properties
   * @param expectedMapping           The expected mapping instance whose nodes names should be updated according to their assigned states.
   * @param posteriorProbabilities    Vector of posterior assignment proabilities to inner node to decide on assignments
   */
  void setExpectedAncestrals(shared_ptr<PhyloTree> expectedMapping, VVDouble& posteriorProbabilities);
 
  /* simulates mutations on phylogeny based the sampled ancestrals, tips data, and the simulation parameters
   * @param mapping               The tree that should be edited according to the sampled history
   */
  void sampleMutationsGivenAncestrals(shared_ptr<PhyloTree> mapping);
 
  /* adds a branch mapping to the mapping in a tree format by repeatedly braking branches and adding internal nodes with single children
   * @param son                   The node at the bottom of the branch
   * @param branchMapping         The branchMapping of transitions in a MutationProcess format
   */
  void updateBranchMapping(PhyloNode* son, const MutationPath& branchMapping);
 
  /* sample mutations based on the stochastic mapping parameters, the source and destination state, and the branch length, and updates the simulated history along the branch in the input tree, on the fly
   * @param son                   Node of interest
   * @param maxIterNum            Maximal number of imulation trials
   */
  void sampleMutationsGivenAncestralsPerBranch(PhyloNode* son, size_t maxIterNum = 10000);
 
  /* converts a vector of dwelling times to a mutation path and then updates the bracnh stemming from the given node */
  /* @param node                      The node at the bottom of the branch
   * @param dwellingTimes             A vector of dwelling times where the value at each entry i corresponds to the dwelling time under the i'th state
   *                                  Note that this function generates a new tree instance, that must be deleted by the calling function.
   * @param posteriorProbabilities    Posterior probaibitlies to divide the time spent in a shared state between father and son into two transitions
     @param divMethod                 The method used in the case that the son and father share the same state (either divide the wdelling time of the staed state by 2 for  two transitions (method 0) or allocate the entire dwelling time to be adjacent to the son(method 1))
   */
  void updateBranchByDwellingTimes(PhyloNode* node, VDouble& dwellingTimes, VVDouble& posteriorProbabilities, size_t divMethod = 0);
};
}
#endif // BPP_PHYL_MAPPING_STOCHASTICMAPPING_H