Models

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).

This Shiny-App implements the calculation of several CAP (Community-Aquired-Pneumonia) severity scores for one or multiple patients based on user-updated data.

Preprocessing Illumina HT12v4 gene expression data including quality filtering, data transformation and normalisation and batch-effect removal as well as visualisation

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 ...

Core Ontology of Phenotypes. Contribute to Onto-Med/COP development by creating an account on GitHub.

Depending on the calculated mutation probability genetic counsellors can decide whether patients should undergo further analysis of microsatellite instability and immunohistochemistry. The model is recommended for patients with an age at colorectal cancer diagnosis of 55 or younger.

"MMRpredict" is a risk prediction model for patients with colorectal cancer (Barnetson et al. 2006). It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (overall probability) ...