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authorPeter Carbonetto2017-07-07 11:20:56 -0500
committerGitHub2017-07-07 11:20:56 -0500
commit86e96ede4ff0955bb2d03ac6c1bd7562a3984955 (patch)
tree33120540091e7d16b58f389a13949df397535912 /src/prdt.cpp
parentb3747413e6c5c8cd447e979157880676da66a342 (diff)
parentb9758364059d52e153a9f1b4fcae3bc3f3e68422 (diff)
downloadpangemma-86e96ede4ff0955bb2d03ac6c1bd7562a3984955.tar.gz
Merge pull request #51 from genenetwork/spacing
Spacing fixes.
Diffstat (limited to 'src/prdt.cpp')
-rw-r--r--src/prdt.cpp188
1 files changed, 94 insertions, 94 deletions
diff --git a/src/prdt.cpp b/src/prdt.cpp
index db0fa14..b29d150 100644
--- a/src/prdt.cpp
+++ b/src/prdt.cpp
@@ -1,17 +1,17 @@
/*
Genome-wide Efficient Mixed Model Association (GEMMA)
Copyright (C) 2011-2017, Xiang Zhou
-
+
This program 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.
-
+
This program 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/>.
*/
@@ -24,7 +24,7 @@
#include <bitset>
#include <vector>
#include <stdio.h>
-#include <stdlib.h>
+#include <stdlib.h>
#include <cmath>
#include "gsl/gsl_vector.h"
#include "gsl/gsl_matrix.h"
@@ -43,36 +43,36 @@ using namespace std;
void PRDT::CopyFromParam (PARAM &cPar) {
a_mode=cPar.a_mode;
d_pace=cPar.d_pace;
-
+
file_bfile=cPar.file_bfile;
file_geno=cPar.file_geno;
file_out=cPar.file_out;
path_out=cPar.path_out;
-
- indicator_pheno=cPar.indicator_pheno;
+
+ indicator_pheno=cPar.indicator_pheno;
indicator_cvt=cPar.indicator_cvt;
indicator_idv=cPar.indicator_idv;
-
+
snpInfo=cPar.snpInfo;
mapRS2est=cPar.mapRS2est;
-
+
time_eigen=0;
-
+
n_ph=cPar.n_ph;
np_obs=cPar.np_obs;
np_miss=cPar.np_miss;
ns_total=cPar.ns_total;
- ns_test=0;
-
+ ns_test=0;
+
return;
}
void PRDT::CopyToParam (PARAM &cPar) {
cPar.ns_test=ns_test;
cPar.time_eigen=time_eigen;
-
+
return;
-}
+}
void PRDT::WriteFiles (gsl_vector *y_prdt) {
string file_str;
@@ -80,13 +80,13 @@ void PRDT::WriteFiles (gsl_vector *y_prdt) {
file_str+=".";
file_str+="prdt";
file_str+=".txt";
-
+
ofstream outfile (file_str.c_str(), ofstream::out);
if (!outfile) {
cout<<"error writing file: "<<file_str.c_str()<<endl;
return;
}
-
+
size_t ci_test=0;
for (size_t i=0; i<indicator_idv.size(); i++) {
if (indicator_idv[i]==1) {
@@ -96,7 +96,7 @@ void PRDT::WriteFiles (gsl_vector *y_prdt) {
ci_test++;
}
}
-
+
outfile.close();
outfile.clear();
return;
@@ -106,13 +106,13 @@ void PRDT::WriteFiles (gsl_matrix *Y_full) {
string file_str;
file_str=path_out+"/"+file_out;
file_str+=".prdt.txt";
-
+
ofstream outfile (file_str.c_str(), ofstream::out);
if (!outfile) {
cout<<"error writing file: "<<file_str.c_str()<<endl;
return;
}
-
+
size_t ci_test=0;
for (size_t i=0; i<indicator_cvt.size(); i++) {
if (indicator_cvt[i]==0) {
@@ -126,7 +126,7 @@ void PRDT::WriteFiles (gsl_matrix *Y_full) {
ci_test++;
}
}
-
+
outfile.close();
outfile.clear();
return;
@@ -134,21 +134,21 @@ void PRDT::WriteFiles (gsl_matrix *Y_full) {
void PRDT::AddBV (gsl_matrix *G, const gsl_vector *u_hat, gsl_vector *y_prdt) {
size_t ni_test=u_hat->size, ni_total=G->size1;
-
+
gsl_matrix *Goo=gsl_matrix_alloc (ni_test, ni_test);
gsl_matrix *Gfo=gsl_matrix_alloc (ni_total-ni_test, ni_test);
- gsl_matrix *U=gsl_matrix_alloc (ni_test, ni_test);
+ gsl_matrix *U=gsl_matrix_alloc (ni_test, ni_test);
gsl_vector *eval=gsl_vector_alloc (ni_test);
gsl_vector *Utu=gsl_vector_alloc (ni_test);
gsl_vector *w=gsl_vector_alloc (ni_total);
gsl_permutation *pmt=gsl_permutation_alloc (ni_test);
-
+
//center matrix G based on indicator_idv
for (size_t i=0; i<ni_total; i++) {
gsl_vector_set(w, i, indicator_idv[i]);
}
CenterMatrix(G, w);
-
+
//obtain Koo and Kfo
size_t o_i=0, o_j=0;
double d;
@@ -166,7 +166,7 @@ void PRDT::AddBV (gsl_matrix *G, const gsl_vector *u_hat, gsl_vector *y_prdt) {
}
if (indicator_idv[i]==1) {o_i++;}
}
-
+
//matrix operations to get u_prdt
cout<<"Start Eigen-Decomposition..."<<endl;
clock_t time_start=clock();
@@ -177,8 +177,8 @@ void PRDT::AddBV (gsl_matrix *G, const gsl_vector *u_hat, gsl_vector *y_prdt) {
}
}
- time_eigen=(clock()-time_start)/(double(CLOCKS_PER_SEC)*60.0);
-
+ time_eigen=(clock()-time_start)/(double(CLOCKS_PER_SEC)*60.0);
+
gsl_blas_dgemv (CblasTrans, 1.0, U, u_hat, 0.0, Utu);
for (size_t i=0; i<eval->size; i++) {
d=gsl_vector_get(eval, i);
@@ -189,7 +189,7 @@ void PRDT::AddBV (gsl_matrix *G, const gsl_vector *u_hat, gsl_vector *y_prdt) {
}
gsl_blas_dgemv (CblasNoTrans, 1.0, U, Utu, 0.0, eval);
gsl_blas_dgemv (CblasNoTrans, 1.0, Gfo, eval, 1.0, y_prdt);
-
+
// Free matrices.
gsl_matrix_free(Goo);
gsl_matrix_free(Gfo);
@@ -199,7 +199,7 @@ void PRDT::AddBV (gsl_matrix *G, const gsl_vector *u_hat, gsl_vector *y_prdt) {
gsl_vector_free(w);
gsl_permutation_free(pmt);
- return;
+ return;
}
void PRDT::AnalyzeBimbam (gsl_vector *y_prdt) {
@@ -208,17 +208,17 @@ void PRDT::AnalyzeBimbam (gsl_vector *y_prdt) {
cout<<"error reading genotype file:"<<file_geno<<endl;
return;
}
-
+
string line;
char *ch_ptr;
string rs;
-
+
size_t n_miss, n_train_nomiss, c_phen;
double geno, x_mean, x_train_mean, effect_size;
-
+
gsl_vector *x=gsl_vector_alloc (y_prdt->size);
gsl_vector *x_miss=gsl_vector_alloc (y_prdt->size);
-
+
ns_test=0;
// Start reading genotypes and analyze.
@@ -227,24 +227,24 @@ void PRDT::AnalyzeBimbam (gsl_vector *y_prdt) {
if (t%d_pace==0 || t==(ns_total-1)) {
ProgressBar ("Reading SNPs ", t, ns_total-1);
}
-
+
ch_ptr=strtok ((char *)line.c_str(), " , \t");
rs=ch_ptr;
ch_ptr=strtok (NULL, " , \t");
- ch_ptr=strtok (NULL, " , \t");
-
+ ch_ptr=strtok (NULL, " , \t");
+
if (mapRS2est.count(rs)==0) {
continue;
} else {
effect_size=mapRS2est[rs];
}
-
+
x_mean=0.0;
c_phen=0;
n_miss=0;
x_train_mean=0;
n_train_nomiss=0;
-
+
gsl_vector_set_zero(x_miss);
for (size_t i=0; i<indicator_idv.size(); ++i) {
@@ -260,10 +260,10 @@ void PRDT::AnalyzeBimbam (gsl_vector *y_prdt) {
gsl_vector_set(x_miss, c_phen, 0.0);
n_miss++;
} else {
- geno=atof(ch_ptr);
-
- gsl_vector_set(x, c_phen, geno);
- gsl_vector_set(x_miss, c_phen, 1.0);
+ geno=atof(ch_ptr);
+
+ gsl_vector_set(x, c_phen, geno);
+ gsl_vector_set(x_miss, c_phen, 1.0);
x_mean+=geno;
}
c_phen++;
@@ -274,12 +274,12 @@ void PRDT::AnalyzeBimbam (gsl_vector *y_prdt) {
cout << "snp " << rs << " has missing genotype for all " <<
"individuals and will be ignored." << endl;
continue;}
-
+
x_mean/=(double)(x->size-n_miss);
x_train_mean/=(double)(n_train_nomiss);
-
-
+
+
for (size_t i=0; i<x->size; ++i) {
geno=gsl_vector_get(x, i);
if (gsl_vector_get (x_miss, i)==0) {
@@ -291,17 +291,17 @@ void PRDT::AnalyzeBimbam (gsl_vector *y_prdt) {
gsl_vector_scale (x, effect_size);
gsl_vector_add (y_prdt, x);
-
+
ns_test++;
- }
+ }
cout<<endl;
-
+
gsl_vector_free (x);
gsl_vector_free (x_miss);
-
+
infile.close();
infile.clear();
-
+
return;
}
@@ -312,35 +312,35 @@ void PRDT::AnalyzePlink (gsl_vector *y_prdt) {
cout<<"error reading bed file:"<<file_bed<<endl;
return;
}
-
+
char ch[1];
- bitset<8> b;
+ bitset<8> b;
string rs;
-
+
size_t n_bit, n_miss, ci_total, ci_test, n_train_nomiss;
double geno, x_mean, x_train_mean, effect_size;
-
+
gsl_vector *x=gsl_vector_alloc (y_prdt->size);
-
+
// Calculate n_bit and c, the number of bit for each SNP.
if (indicator_idv.size()%4==0) {n_bit=indicator_idv.size()/4;}
else {n_bit=indicator_idv.size()/4+1; }
-
+
// Print the first 3 magic numbers.
for (size_t i=0; i<3; ++i) {
infile.read(ch,1);
b=ch[0];
- }
-
+ }
+
ns_test=0;
-
+
for (vector<SNPINFO>::size_type t=0; t<snpInfo.size(); ++t) {
if (t%d_pace==0 || t==snpInfo.size()-1) {
ProgressBar ("Reading SNPs ", t, snpInfo.size()-1);
}
-
+
rs=snpInfo[t].rs_number;
-
+
if (mapRS2est.count(rs)==0) {
continue;
} else {
@@ -349,7 +349,7 @@ void PRDT::AnalyzePlink (gsl_vector *y_prdt) {
// n_bit, and 3 is the number of magic numbers.
infile.seekg(t*n_bit+3);
-
+
// Read genotypes.
x_mean=0.0;
n_miss=0;
@@ -359,7 +359,7 @@ void PRDT::AnalyzePlink (gsl_vector *y_prdt) {
b=ch[0];
// Minor allele homozygous: 2.0; major: 0.0.
- for (size_t j=0; j<4; ++j) {
+ for (size_t j=0; j<4; ++j) {
if ((i==(n_bit-1)) &&
ci_total==indicator_idv.size()) {
break;
@@ -404,19 +404,19 @@ void PRDT::AnalyzePlink (gsl_vector *y_prdt) {
ci_test++;
}
ci_total++;
-
+
}
}
-
+
if (x->size==n_miss) {
cout << "snp " << rs << " has missing genotype for all " <<
"individuals and will be ignored."<<endl;
continue;
}
-
+
x_mean/=(double)(x->size-n_miss);
x_train_mean/=(double)(n_train_nomiss);
-
+
for (size_t i=0; i<x->size; ++i) {
geno=gsl_vector_get(x, i);
if (geno==-9) {
@@ -425,47 +425,47 @@ void PRDT::AnalyzePlink (gsl_vector *y_prdt) {
gsl_vector_set(x, i, geno-x_train_mean);
}
}
-
+
gsl_vector_scale (x, effect_size);
gsl_vector_add (y_prdt, x);
-
+
ns_test++;
- }
+ }
cout<<endl;
-
+
gsl_vector_free (x);
-
+
infile.close();
- infile.clear();
-
+ infile.clear();
+
return;
}
// Predict missing phenotypes using ridge regression.
// Y_hat contains fixed effects
void PRDT::MvnormPrdt (const gsl_matrix *Y_hat, const gsl_matrix *H,
- gsl_matrix *Y_full) {
+ gsl_matrix *Y_full) {
gsl_vector *y_obs=gsl_vector_alloc (np_obs);
gsl_vector *y_miss=gsl_vector_alloc (np_miss);
gsl_matrix *H_oo=gsl_matrix_alloc (np_obs, np_obs);
gsl_matrix *H_mo=gsl_matrix_alloc (np_miss, np_obs);
gsl_vector *Hiy=gsl_vector_alloc (np_obs);
-
+
size_t c_obs1=0, c_obs2=0, c_miss1=0, c_miss2=0;
-
+
// Obtain H_oo, H_mo.
- c_obs1=0; c_miss1=0;
+ c_obs1=0; c_miss1=0;
for (vector<int>::size_type i1=0; i1<indicator_pheno.size(); ++i1) {
if (indicator_cvt[i1]==0) {continue;}
for (vector<int>::size_type j1=0; j1<n_ph; ++j1) {
-
+
c_obs2=0; c_miss2=0;
for (vector<int>::size_type i2=0;
i2<indicator_pheno.size(); ++i2) {
if (indicator_cvt[i2]==0) {continue;}
for (vector<int>::size_type j2=0;
j2<n_ph; j2++) {
-
+
if (indicator_pheno[i2][j2]==1) {
if (indicator_pheno[i1][j1]==1) {
gsl_matrix_set(H_oo,c_obs1, c_obs2, gsl_matrix_get (H, c_obs1+c_miss1, c_obs2+c_miss2) );
@@ -476,30 +476,30 @@ void PRDT::MvnormPrdt (const gsl_matrix *Y_hat, const gsl_matrix *H,
} else {
c_miss2++;
}
- }
+ }
}
-
+
if (indicator_pheno[i1][j1]==1) {
c_obs1++;
} else {
c_miss1++;
}
}
-
- }
-
+
+ }
+
// Do LU decomposition of H_oo.
int sig;
gsl_permutation * pmt=gsl_permutation_alloc (np_obs);
LUDecomp (H_oo, pmt, &sig);
-
+
// Obtain y_obs=y_full-y_hat.
// Add the fixed effects part to y_miss: y_miss=y_hat.
c_obs1=0; c_miss1=0;
for (vector<int>::size_type i=0;
i<indicator_pheno.size(); ++i) {
if (indicator_cvt[i]==0) {continue;}
-
+
for (vector<int>::size_type j=0; j<n_ph; ++j) {
if (indicator_pheno[i][j]==1) {
gsl_vector_set (y_obs, c_obs1, gsl_matrix_get (Y_full, i, j)-gsl_matrix_get (Y_hat, i, j) );
@@ -509,18 +509,18 @@ void PRDT::MvnormPrdt (const gsl_matrix *Y_hat, const gsl_matrix *H,
c_miss1++;
}
}
- }
-
+ }
+
LUSolve (H_oo, pmt, y_obs, Hiy);
-
+
gsl_blas_dgemv (CblasNoTrans, 1.0, H_mo, Hiy, 1.0, y_miss);
-
+
// Put back predicted y_miss to Y_full.
c_miss1=0;
for (vector<int>::size_type i=0;
i<indicator_pheno.size(); ++i) {
if (indicator_cvt[i]==0) {continue;}
-
+
for (vector<int>::size_type j=0; j<n_ph; ++j) {
if (indicator_pheno[i][j]==0) {
gsl_matrix_set (Y_full, i, j, gsl_vector_get (y_miss, c_miss1) );
@@ -528,14 +528,14 @@ void PRDT::MvnormPrdt (const gsl_matrix *Y_hat, const gsl_matrix *H,
}
}
}
-
+
// Free matrices.
gsl_vector_free(y_obs);
gsl_vector_free(y_miss);
gsl_matrix_free(H_oo);
gsl_matrix_free(H_mo);
gsl_vector_free(Hiy);
-
+
return;
}