SMapper: visualizing spatial prevalence data of all types, including sparse and incomplete datasets.

Lynn KhellafArwin RalfKhanh Toan NguyenManfred KayserMichael Nothnagel

Published in: Bioinformatics advances (2023)

A web implementation is available at https://rhodos.ccg.uni-koeln.de/smapper/. A stand-alone version, released under the GNU General Public License version 3 as published by the Free Software Foundation, is available from https://rhodos.ccg.uni-koeln.de/smapper/software-download.php as a Singularity container (https://docs.sylabs.io/guides/latest/user-guide/index.html) and a native Linux Python installation.

Keyphrases

psychometric properties
healthcare
data analysis
primary care

risk factors
mental health
electronic health record

big data
quality improvement
randomized controlled trial

emergency department
living cells
adverse drug