df_crc

<p>A dataset PubMed abstracts of miRNAs in Colorectal Cancer.</p>

datasets

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

df_crc function

Format

Dataset of PubMed data of miRNAs in Colorectal Cancer — df_crc

Dataset of PubMed data of miRNAs in Colorectal Cancer

df_crc: Dataset of PubMed data of miRNAs in Colorectal Cancer

Description

Usage

Arguments

Format