plot_lda_term

lda_model

<p>Integer. Top terms to plot per topic.</p>

top.terms

title

<p>Plot terms associated with LDA-fitted topics.</p>

Providing tools for microRNA (miRNA) text mining.
miRetrieve summarizes miRNA literature by extracting, counting, and
analyzing miRNA names, thus aiming at gaining biological insights into a
large amount of text within a short period of time. To do so, miRetrieve
uses regular expressions to extract miRNAs and tokenization to
identify meaningful miRNA associations. In addition, miRetrieve uses
the latest miRTarBase version 8.0 (Hsi-Yuan Huang et al. (2020)
"miRTarBase 2020: updates to the experimentally validated microRNA<e2><80><93>target
interaction database" <doi:10.1093/nar/gkz896>) to display field-specific
miRNA-mRNA interactions. The most important functions are available as a
Shiny web application under <https://miretrieve.shinyapps.io/miRetrieve/>.

Julian Friedrich

miRetrieve

miRNA Text Mining in Abstracts

Hans-Peter Hammes

Guido Krenning

plot_lda_term function

Plot terms associated with LDA-fitted topics — plot_lda_term

Plot terms associated with LDA-fitted topics

plot_lda_term: Plot terms associated with LDA-fitted topics

Description

Usage

Arguments

Value

Details

See Also