Meningioma Methylation Cluster Classifier

Welcome to our Meningioma Methylation Cluster Classifier compatible with EPIC and EPICv2 DNA methylation arrays.

This web application will process your idat files and predict methylation cluster assignment based on our model (Accuracy: 98.7%, 95% CI: 96.25-99.73; Sensitivity: 94.12%; Specificity: 100%).

β-value distribution of the sample is provided for QC. Genome-wide copy number events provide further prognostic information.

This classifier is solely intended to be used in combination with meningioma tumor samples. We recommend the usage of the Heidelberg CNS tumor methylation classifier prior to our tool to ensure correct diagnosis.

Please refer to www.hih-tuebingen.de/datenschutzerklearung for our privacy policy.

Meningioma Methylation Cluster Classifier

β-value Density Plot

CNV Genome Plot