calcCosine

Calculate the cosine similarity metric for two lists a and b

Analysis and visualization of similarities between epilepsy ontologies based on text mining results by comparing ranked lists of co-occurring drug terms in the BioASQ corpus. The ranked result lists of neurological drug terms co-occurring with terms from the epilepsy ontologies EpSO, ESSO, EPILONT, EPISEM and FENICS undergo further analysis. The source data to create the ranked lists of drug names is produced using the text mining workflows described in Mueller, Bernd and Hagelstein, Alexandra (2016) <doi:10.4126/FRL01-006408558>, Mueller, Bernd et al. (2017) <doi:10.1007/978-3-319-58694-6_22>, Mueller, Bernd and Rebholz-Schuhmann, Dietrich (2020) <doi:10.1007/978-3-030-43887-6_52>, and Mueller, Bernd et al. (2022) <doi:10.1186/s13326-021-00258-w>.

Bernd Mueller

epos

Epilepsy Ontologies' Similarities

calcCosine function

<dl><dt>a</dt>
<dd>list with elements that should be of same type as in list b</dd>
<dt>b</dt>
<dd>list with elements</dd></dl>

Arguments

Calculate the cosine similarity metric for two lists a and b — calcCosine

<dl>

<dt>a</dt>
<dd>list with elements that should be of same type as in list b</dd>


<dt>b</dt>
<dd>list with elements</dd>

</dl>

calcCosine: Calculate the cosine similarity metric for two lists a and b

Description

Usage

Value

Arguments

Examples