Models
Motivation: By using the NLP4CR tool, medical facts (e.g. diagnoses, laboratory values) can be extracted from German medical full texts.
Description: The NLP4CR tool is a prototype that demonstrates the applicability of Apache UIMA and cTakes to medical full texts in German language.
Creators: Sebastian Stäubert, Matthias Löbe, Colleen Goldberg
Submitter: Christoph Beger
Model type: Not specified
Model format: Not specified
Environment: Not specified
This shiny app facilitates the download and searching of the summary statistics from "Dissecting the genetics of the human transcriptome identifies novel trait-related trans-eQTLs and corroborates the regulatory relevance of non-protein coding loci" (https://doi.org/10.1093/hmg/ddv194).
Creators: Markus Scholz, Carl Beuchel, Holger Kirsten
Submitter: Carl Beuchel
Model type: Not specified
Model format: R package
Environment: Shiny
This Shiny-App implements the calculation of several CAP (Community-Aquired-Pneumonia) severity scores for one or multiple patients based on user-updated data.
Creators: Markus Scholz, Maciej Rosolowski, Carl Beuchel
Submitter: Carl Beuchel
Model type: Algebraic equations
Model format: R package
Environment: Shiny
Preprocessing Illumina HT12v4 gene expression data including quality filtering, data transformation and normalisation and batch-effect removal as well as visualisation
Creators: Markus Scholz, Holger Kirsten
Submitter: Christoph Beger
Model type: Not specified
Model format: R package
Environment: Not specified
The Covid‐19 viewer provides an intuitive tool to monitor the development of the pandemic in 188 countries using simple plots. The tool is interactive and enables the user to select different plots for single countries, groups or all of them. It visualizes descriptive features such as slopes or flattening behaviour of epidemic numbers and of their increments to allow a qualitative justification of the current state of the pandemic, e.g. whether it is growing exponentially, stopped due to counter ...
Creators: Hans Binder, Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny
Creators: Markus Scholz, Carl Beuchel, Yuri Kheifetz, Sibylle Schirm
Submitter: Carl Beuchel
Model type: Ordinary differential equations (ODE)
Model format: R package
Environment: Shiny
Core Ontology of Phenotypes. Contribute to Onto-Med/COP development by creating an account on GitHub.
Creators: Heinrich Herre, Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
Model type: Not specified
Model format: Not specified
Environment: Not specified