pub struct Mutation { /* private fields */ }
Expand description

Similarity score based on the difference in associated genes or diseases

The Mutation algorithm calculates how many genes or diseases are associated to only one term and not the other. If two terms are linked to the same annotations, their similarity score will be 1. If both terms do not have any associated terms, they are considered completely different, i.e. have a similarity of 0.

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impl Mutation

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pub fn new(kind: InformationContentKind) -> Self

Constructs a new struct to calculate the Mutation based similarity scores between two terms

§Examples
use hpo::similarity::Mutation;
use hpo::term::InformationContentKind;

// use Omim-based InformationContent for similarity calculation
let jc = Mutation::new(InformationContentKind::Omim);

Trait Implementations§

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impl Debug for Mutation

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

Formats the value using the given formatter. Read more
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impl Similarity for Mutation

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fn calculate(&self, a: &HpoTerm<'_>, b: &HpoTerm<'_>) -> f32

calculates the actual similarity between term a and term b

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impl<T> Any for T
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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

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Calls U::from(self).

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type Output = T

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fn is_in_subset(&self) -> bool

Checks if self is actually part of its subset T (and can be converted to it).
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fn to_subset_unchecked(&self) -> SS

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type Error = Infallible

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