Models

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38 Models visible to you, out of a total of 38

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

No description specified

Creators: Christoph Engel, Silke Zachariae

Submitter: Silke Zachariae

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

No description specified

Creators: Markus Scholz, Carl Beuchel, Yuri Kheifetz, Sibylle Schirm

Submitter: Carl Beuchel

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

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) ...

Creators: Christoph Engel, Silke Zachariae

Submitter: Silke Zachariae

The PREMM1,2,6 has been developed as a pretest to decide whether patients suspected of having Lynch syndrome should be tested for germline mismatch repair gene mutations. "PREMM1,2,6" is a logistic regression model. It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (for single genes and overall) based on the personal and familial cancer history of the proband (colorectal, endometrial, and other Lynch syndrome related cancers).

Creators: Silke Zachariae, Christoph Engel, Kastrinos et al.

Submitter: Silke Zachariae

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