Struct libprosic::model::priors::flat::FlatTumorNormalModel

pub struct FlatTumorNormalModel { /* fields omitted */ }

Methods

impl FlatTumorNormalModel

fn new(ploidy: u32) -> Self

Trait Implementations

impl PairModel<ContinuousAlleleFreqs, DiscreteAlleleFreqs> for FlatTumorNormalModel

fn prior_prob(&self, _: AlleleFreq, _: AlleleFreq, _: &Variant) -> LogProb

Calculate prior probability of given combination of allele frequencies.

fn joint_prob<L, O>(
    &self,
    af_tumor: &ContinuousAlleleFreqs,
    af_normal: &DiscreteAlleleFreqs,
    likelihood_tumor: &L,
    likelihood_normal: &O,
    _: &Variant,
    _: usize,
    _: usize
) -> LogProb where
    L: Fn(AlleleFreq, Option<AlleleFreq>) -> LogProb,
    O: Fn(AlleleFreq, Option<AlleleFreq>) -> LogProb, 

Calculate joint probability of prior with likelihoods for given allele frequency ranges.

fn marginal_prob<L, O>(
    &self,
    likelihood_tumor: &L,
    likelihood_normal: &O,
    variant: &Variant,
    n_obs_tumor: usize,
    n_obs_normal: usize
) -> LogProb where
    L: Fn(AlleleFreq, Option<AlleleFreq>) -> LogProb,
    O: Fn(AlleleFreq, Option<AlleleFreq>) -> LogProb, 

Calculate marginal probability.

fn map<L, O>(
    &self,
    likelihood_tumor: &L,
    likelihood_normal: &O,
    _: &Variant,
    _: usize,
    _: usize
) -> (AlleleFreq, AlleleFreq) where
    L: Fn(AlleleFreq, Option<AlleleFreq>) -> LogProb,
    O: Fn(AlleleFreq, Option<AlleleFreq>) -> LogProb, 

Calculate maximum a posteriori probability estimate of allele frequencies.

fn allele_freqs(&self) -> (&ContinuousAlleleFreqs, &DiscreteAlleleFreqs)

Return allele frequency spectra.