Enum SamplingStrategy 

pub enum SamplingStrategy {
    Uniform,
    Gaussian(Sigma),
    Poisson(Lambda),
    Exponential(Lambda),
}

Sampling strategies to sample the EcDNADistribution.

Variants

Uniform

Randomly pick cells from the ecDNA distribution.

Gaussian(Sigma)

Map each entry of the ecDNA distribution k into a Normal distribution with mean k and std of 1, and then randomly pick cells from this modified distribution.

Note that if the distribution contains only cells w/o any ecDNAs, then this will not generate any new cell with ecDNA (that is it’s a biased Gaussian).

Poisson(Lambda)

Map each entry of the ecDNA distribution k into a Poisson point process with mean lambda * k and , and then randomly pick cells from this modified distribution.

Exponential(Lambda)

Map each entry of the ecDNA distribution k into a Exponential distribution with a rate parameter, and then randomly pick cells from this modified distribution.

The mapping is k * (1-exp(rate)), that is then ones we have before transcription k times the ones that have not degraded 1-exp(rate).

Trait Implementations

impl Clone for SamplingStrategy

fn clone(&self) -> SamplingStrategy

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SamplingStrategy

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for SamplingStrategy

fn eq(&self, other: &SamplingStrategy) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for SamplingStrategy

impl StructuralPartialEq for SamplingStrategy