static
void
calculate_result_set(const strelka_options& opt,
const double* normal_lnprior,
const double lnmatch,
const double lnmismatch,
const double* normal_lhood,
const double* tumor_lhood,
result_set& rs) {
#ifdef SOMATIC_DEBUG
std::vector<double> check_prior(DDIINDEL::SIZE);
for (unsigned ngt(0); ngt<STAR_DIINDEL::SIZE; ++ngt) {
const double base_prior(normal_lnprior[ngt]);
for (unsigned tgt(0); tgt<STAR_DIINDEL::SIZE; ++tgt) {
const unsigned dgt(DDIINDEL::get_state(ngt,tgt));
check_prior[dgt] =
base_prior+
((tgt==ngt) ? lnmatch : lnmismatch);
}
}
check_ln_distro(check_prior.begin(),
check_prior.end(),
"somatic indel full prior");
#endif
// get unnormalized posterior:
std::vector<double> pprob(DDIINDEL::SIZE);
for (unsigned ngt(0); ngt<STAR_DIINDEL::SIZE; ++ngt) {
const double base_prior(normal_lnprior[ngt]);
for (unsigned tgt(0); tgt<STAR_DIINDEL::SIZE; ++tgt) {
const unsigned dgt(DDIINDEL::get_state(ngt,tgt));
pprob[dgt] =
normal_lhood[ngt]+
tumor_lhood[tgt]+
base_prior+
((tgt==ngt) ? lnmatch : lnmismatch);
}
}
normalize_ln_distro(pprob.begin(),pprob.end(),rs.max_gt);
#ifdef DEBUG_INDEL_CALL
log_os << "INDEL_CALL pprob(noindel),pprob(hom),pprob(het): " << pprob[STAR_DIINDEL::NOINDEL] << " " << pprob[STAR_DIINDEL::HOM] << " " << pprob[STAR_DIINDEL::HET] << "\n";
#endif
double nonsomatic_sum(0);
for (unsigned gt(0); gt<STAR_DIINDEL::SIZE; ++gt) {
nonsomatic_sum += pprob[DDIINDEL::get_state(gt,gt)];
}
rs.sindel_qphred=error_prob_to_qphred(nonsomatic_sum);
double not_somfrom_sum[STAR_DIINDEL::SIZE];
for (unsigned sgt(0); sgt<STAR_DIINDEL::SIZE; ++sgt) {
not_somfrom_sum[sgt]=nonsomatic_sum;
for (unsigned ngt(0); ngt<STAR_DIINDEL::SIZE; ++ngt) {
if (sgt==ngt) continue;
for (unsigned tgt(0); tgt<STAR_DIINDEL::SIZE; ++tgt) {
if (tgt==ngt) continue;
not_somfrom_sum[sgt] += pprob[DDIINDEL::get_state(ngt,tgt)];
}
}
}
rs.sindel_from_ref_qphred=error_prob_to_qphred(not_somfrom_sum[STAR_DIINDEL::NOINDEL]);
rs.sindel_from_het_qphred=error_prob_to_qphred(not_somfrom_sum[STAR_DIINDEL::HET]);
rs.sindel_from_hom_qphred=error_prob_to_qphred(not_somfrom_sum[STAR_DIINDEL::HOM]);
double not_somfromanyhom_sum(nonsomatic_sum);
for (unsigned ngt(0); ngt<STAR_DIINDEL::SIZE; ++ngt) {
if (STAR_DIINDEL::HET != ngt) continue;
for (unsigned tgt(0); tgt<STAR_DIINDEL::SIZE; ++tgt) {
if (tgt==ngt) continue;
not_somfromanyhom_sum += pprob[DDIINDEL::get_state(ngt,tgt)];
}
}
rs.sindel_from_anyhom_qphred=error_prob_to_qphred(not_somfromanyhom_sum);
rs.max_gt_qphred=error_prob_to_qphred(prob_comp(pprob.begin(),pprob.end(),rs.max_gt));
}
// Given the likelihood, go through the final computations to get the
// posterior and derived values.
//
static
void
calculate_result_set_grid(const blt_float_t* normal_lhood,
const blt_float_t* tumor_lhood,
const somatic_snv_caller_strand_grid::prior_set& pset,
const blt_float_t lnmatch,
const blt_float_t lnmismatch,
const unsigned /*ref_gt*/,
result_set& rs) {
// a piece transplanted from 1150 to make a formal correction to
// the priors which should have a low-impact on the results.
// the prior below is incomplete
#ifdef DEBUG_ALTERNATE_PRIOR
static const double neginf(-std::numeric_limits<double>::infinity());
std::vector<double> prior(DDIGT_SGRID::SIZE);
std::fill(prior.begin(),prior.end(),neginf);
// this zero'd code is incomplete and abandoned for now...:
#if 0
for(unsigned ngt(0); ngt<DIGT_SGRID::PRESTRAND_SIZE; ++ngt) {
double base_prior(neginf);
const bool is_noise(ngt>=STAR_DIINDEL::SIZE);
if(is_noise) {
base_prior=pset.normal[ngt];
} else {
base_prior=pset.nonoise[ngt];
}
for(unsigned tgt(0); tgt<DIGT_SGRID::PRESTRAND_SIZE; ++tgt) {
const blt_float_t tgt_prior_mod( (tgt==ngt) ? lnmatch : lnmismatch );
const unsigned dgt(DDIGT_SGRID::get_state(ngt,tgt));
prior[dgt] = normal_genomic_lnprior[ngt]+tgt_prior_mod;
}
}
for(unsigned gt(DIGT_SGRID::PRESTRAND_SIZE); gt<DIGT_SGRID::SIZE; ++gt) {
const unsigned dgt(DDIGT_SGRID::get_state(gt,gt));
prior[dgt] = normal_genomic_lnprior[gt]+lnmatch;
}
#endif
check_ln_distro(prior.begin(),
prior.end(),
"somatic snv full prior");
#endif
// intentionally use higher float res for this structure:
std::vector<double> pprob(DDIGT_SGRID::SIZE);
// mult by prior distro to get unnormalized pprob for states in
// the regular grid model:
//
for(unsigned ngt(0); ngt<DIGT_SGRID::PRESTRAND_SIZE; ++ngt) {
for(unsigned tgt(0); tgt<DIGT_SGRID::PRESTRAND_SIZE; ++tgt) {
const unsigned dgt(DDIGT_SGRID::get_state(ngt,tgt));
#if 0
// the trusty old way...:
const blt_float_t tgt_prior_mod( (tgt==ngt) ? lnmatch : lnmismatch );
pprob[dgt] = normal_lhood[ngt]+tumor_lhood[tgt]+pset.normal[ngt]+tgt_prior_mod;
#else
// unorm takes the role of the normal prior for the somatic case:
// static const blt_float_t unorm(std::log(static_cast<blt_float_t>(DIGT_SGRID::PRESTRAND_SIZE)));
blt_float_t prior;
if(tgt==ngt) {
prior=pset.normal[ngt]+lnmatch;
} else {
prior=pset.somatic_marginal[ngt]+lnmismatch;
}
pprob[dgt] = normal_lhood[ngt]+tumor_lhood[tgt]+prior;
#endif
}
}
// Now add the single-strand noise states. note that these states
// are unique in that we don't look for mixtures of somatic
// variation with these noise states, b/c single-strand
// observations can almost exclusively be ruled out as noise:
//
for(unsigned gt(DIGT_SGRID::PRESTRAND_SIZE); gt<DIGT_SGRID::SIZE; ++gt) {
const unsigned dgt(DDIGT_SGRID::get_state(gt,gt));
pprob[dgt] = normal_lhood[gt]+tumor_lhood[gt]+pset.normal[gt]+lnmatch;
}
opt_normalize_ln_distro(pprob.begin(),pprob.end(),DDIGT_SGRID::is_nonsom.val.begin(),rs.max_gt);
//normalize_ln_distro(pprob.begin(),pprob.end(),rs.max_gt);
double nonsomatic_sum(0);
for(unsigned gt(0); gt<DIGT_SGRID::SIZE; ++gt) {
nonsomatic_sum += pprob[DDIGT_SGRID::get_state(gt,gt)];
}
rs.snv_qphred=error_prob_to_qphred(nonsomatic_sum);
if(0==rs.snv_qphred) return;
#if 0
// alternate way to calculate the joint:
//
double min_not_somfrom_sum(0);
for(unsigned dgt(0); dgt<DIGT::SIZE; ++dgt) {
double not_somfrom_sum(nonsomatic_sum);
for(unsigned ngt(0); ngt<DIGT_SGRID::PRESTRAND_SIZE; ++ngt) {
// we're looking for the joint prob when state dgt is true
// in the normal, so skip this as a normal state here:
//
if(dgt==ngt) continue;
for(unsigned tgt(0); tgt<DIGT_SGRID::PRESTRAND_SIZE; ++tgt) {
// we've already started from the nonsomatic som, so we can skip the equal states:
//
if(ngt==tgt) continue;
not_somfrom_sum += pprob[DDIGT_SGRID::get_state(ngt,tgt)];
}
}
if((dgt==0) || (!_somfrom_sum<min_not_somfrom_sum)) {
min_not_somfrom_sum=not_somfrom_sum;
rs.snv_from_ntype_qphred=error_prob_to_qphred(not_somfrom_sum);
rs.ntype=dgt;
}
}
#endif
#if 0
// reset max_gt to the most likely state excluding normal noise states:
//
rs.max_gt=0;
for(unsigned dgt(0); dgt<DIGT::SIZE; ++dgt) {
for(unsigned tgt(0); tgt<DIGT_SGRID::PRESTRAND_SIZE; ++tgt) {
const unsigned xgt(DDIGT_SGRID::get_state(dgt,tgt));
if(pprob[xgt] > pprob[rs.max_gt]) rs.max_gt=xgt;
}
}
#endif
// Calculate normal distribution alone so that we can classify this call:
//
// Polymorphic prior is used because in this situation we want to
// be conservative about the reference classification --
// ie. conditioned on only looking at putative somatic sites, we
// require evidence to show that the normal is in fact reference
// and not simply an unsampled copy of the somatic variation.
//
std::vector<double> normal_pprob(DIGT_SGRID::PRESTRAND_SIZE);
for(unsigned ngt(0); ngt<DIGT_SGRID::PRESTRAND_SIZE; ++ngt) {
normal_pprob[ngt] = normal_lhood[ngt]+pset.normal_poly[ngt];
}
unsigned max_norm_gt(0);
normalize_ln_distro(normal_pprob.begin(),normal_pprob.end(),max_norm_gt);
// find the probability of max_norm_gt:
const double ngt_prob(prob_comp(normal_pprob.begin(),normal_pprob.end(),max_norm_gt));
// (1-(1-a)(1-b)) -> a+b-(ab)
double not_somfrom_sum(nonsomatic_sum+ngt_prob-(nonsomatic_sum*ngt_prob));
rs.snv_from_ntype_qphred=error_prob_to_qphred(not_somfrom_sum);
rs.ntype=max_norm_gt;
}
