Models

25 Models visible to you, out of a total of 26

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
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Creators: Henry Löffler-Wirth, Hans Binder

Contributor: Henry Löffler-Wirth

No description specified

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

Contributor: Carl Beuchel

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

Creators: Christoph Beger, Alexandr Uciteli, Heinrich Herre

Contributor: 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)
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Creators: Silke Zachariae, Christoph Engel

Contributor: Silke Zachariae

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

Creators: Christoph Beger, Holger Kirsten

Contributor: Christoph Beger

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: Christoph Engel, Silke Zachariae, Kastrinos et al.

Contributor: Silke Zachariae

Motivation:
The "Manchester Scoring System" can be used to assist clinicians and genetic counselors in the clinical management of families suspected of having hereditary breast and ovarian cancer and to decide whether genetic testing should be performed.

Description:
The "Manchester Scoring System" is an empirical mutation risk prediction model. In its current form, a risk score for the identification of a pathogenic BRCA1/2 mutation is being calculated based on the number of breast and ovarian
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Creators: Silke Zachariae, Christoph Engel, Evans, D.G. et al. (2009)

Contributor: Silke Zachariae

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