get_terms

Get full set of terms to use in inference procedure based on similarity function arguments

Similarity regression,
evaluating the probability of association between sets of ontological terms
and binary response vector. A no-association model is compared with one in which
the log odds of a true response is linked to the semantic similarity
between terms and a latent characteristic ontological profile - 'Phenotype Similarity Regression for Identifying the Genetic Determinants of Rare Diseases', Greene et al 2016 <doi:10.1016/j.ajhg.2016.01.008>.

Daniel Greene

SimReg

Similarity Regression

get_terms function

<dl><dt>args</dt>
<dd>Named list of named arguments which gets passed to ontological similarity function by <code>sim_reg</code>.</dd></dl>

Arguments

Get full set of terms to use in inference procedure based on similarity function arguments — get_terms

<dl>

<dt>args</dt>
<dd>Named list of named arguments which gets passed to ontological similarity function by <code>sim_reg</code>.</dd>

</dl>

get_terms: Get full set of terms to use in inference procedure based on similarity function arguments

Description

Usage

Value

Arguments