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#ifndef INCLUDED_SLS_PVALUES
#define INCLUDED_SLS_PVALUES
/* $Id: $
* ===========================================================================
*
* PUBLIC DOMAIN NOTICE
* National Center for Biotechnology Information
*
* This software/database is a "United States Government Work" under the
* terms of the United States Copyright Act. It was written as part of
* the author's offical duties as a United States Government employee and
* thus cannot be copyrighted. This software/database is freely available
* to the public for use. The National Library of Medicine and the U.S.
* Government have not placed any restriction on its use or reproduction.
*
* Although all reasonable efforts have been taken to ensure the accuracy
* and reliability of the software and data, the NLM and the U.S.
* Government do not and cannot warrant the performance or results that
* may be obtained by using this software or data. The NLM and the U.S.
* Government disclaim all warranties, express or implied, including
* warranties of performance, merchantability or fitness for any particular
* purpose.
*
* Please cite the author in any work or product based on this material.
*
* ===========================================================================*/
/*****************************************************************************
File name: sls_pvalues.hpp
Author: Sergey Sheetlin
Contents: P-values calculation routines
******************************************************************************/
#include "sls_basic.hpp"
#include <vector>
#include <string>
#include <math.h>
#include <cstdlib>
#include <cmath>
#include <iostream>
namespace Sls {
struct ALP_set_of_parameters
{
ALP_set_of_parameters()
{
d_params_flag=false;
b_I=0;
b_I_error=0;
b_J=0;
b_J_error=0;
beta_I=0;
beta_I_error=0;
beta_J=0;
beta_J_error=0;
tau=0;
tau_error=0;
};
double lambda;
double lambda_error;
double C;
double C_error;
double K;
double K_error;
double a_I;
double a_I_error;
double a_J;
double a_J_error;
double sigma;
double sigma_error;
double alpha_I;
double alpha_I_error;
double alpha_J;
double alpha_J_error;
double a;
double a_error;
double alpha;
double alpha_error;
double gapless_a;
double gapless_a_error;
double gapless_alpha;
double gapless_alpha_error;
long int G;
long int G1;
long int G2;
std::vector<double > m_LambdaSbs;
std::vector<double > m_KSbs;
std::vector<double > m_CSbs;
std::vector<double > m_SigmaSbs;
std::vector<double > m_AlphaISbs;
std::vector<double > m_AlphaJSbs;
std::vector<double > m_AISbs;
std::vector<double > m_AJSbs;
double m_CalcTime;
bool d_params_flag;//if true, then the parameters are defined and P-values can be calculated
//intercepts
double b_I;
double b_I_error;
double b_J;
double b_J_error;
double beta_I;
double beta_I_error;
double beta_J;
double beta_J_error;
double tau;
double tau_error;
std::vector<double > m_BISbs;
std::vector<double > m_BJSbs;
std::vector<double > m_BetaISbs;
std::vector<double > m_BetaJSbs;
std::vector<double > m_TauSbs;
//tmp values
double vi_y_thr;
double vj_y_thr;
double c_y_thr;
};
std::ostream &operator<<(std::ostream &s_,
const ALP_set_of_parameters &gumbel_params_);
std::istream &operator>>(std::istream &s_,
ALP_set_of_parameters &gumbel_params_);
class pvalues{
public:
pvalues();
~pvalues();
public:
static void get_appr_tail_prob_with_cov(
const ALP_set_of_parameters &par_,
bool blast_,
double y_,
double m_,
double n_,
double &P_,
double &P_error_,
double &E_,
double &E_error_,
double &area_,
bool &area_is_1_flag_);
static void compute_tmp_values(ALP_set_of_parameters &par_);
static void get_appr_tail_prob_with_cov_without_errors(
const ALP_set_of_parameters &par_,
bool blast_,
double y_,
double m_,
double n_,
double &P_,
double &E_,
double &area_,
bool &area_is_1_flag_,
bool compute_only_area_=false);
static void get_P_error_using_splitting_method(
const ALP_set_of_parameters &par_,
bool blast_,
double y_,
double m_,
double n_,
double &P_,
double &P_error_,
double &E_,
double &E_error_,
bool &area_is_1_flag_);
public:
static void compute_intercepts(
ALP_set_of_parameters &par_);
void calculate_P_values(
long int Score1,
long int Score2,
double Seq1Len,
double Seq2Len,
const ALP_set_of_parameters &ParametersSet,
std::vector<double> &P_values,
std::vector<double> &P_values_errors,
std::vector<double> &E_values,
std::vector<double> &E_values_errors);
void calculate_P_values(
double Score,
double Seq1Len,
double Seq2Len,
const ALP_set_of_parameters &ParametersSet,
double &P_value,
double &P_value_error,
double &E_value,
double &E_value_error,
bool read_Sbs_par_flag=true);
static inline double ran3()//generates the next random value
{
double rand_C=(double)((double)rand()/(double)RAND_MAX);
return rand_C;
};
static inline double standard_normal()//generates standard normal random value using the Box-Muller transform
{
double r1=0;
while(r1==0)
{
r1=ran3();
};
double r2=0;
while(r2==0)
{
r2=ran3();
};
double v1=-2*log(r1);
if(v1<0)
{
v1=0;
};
return sqrt(v1)*cos(2*pi*r2);
};
static //returns "true" if the Gumbel parameters are properly defined and "false" otherwise
bool assert_Gumbel_parameters(
const ALP_set_of_parameters &par_);//a set of Gumbel parameters
public:
bool blast;
double eps;
double a_normal;
double b_normal;
long int N_normal;
double h_normal;
double *p_normal;
};
}
#endif //! INCLUDED
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