EpiGe

EpiGe-App https://www.epige.irsjd.org/

Gómez-González et al. present a machine learning decision support system (DSS) that enables the classification of the principal molecular groups WNT, SHH, and non-WNT/non-SHH directly from quantitative PCR (qPCR) data. We propose a framework where the developed DSS appears as a user-friendly web-application-EpiGe-App that enables automated interpretation of qPCR methylation data and subsequent molecular group prediction. The basis of our classification strategy is a previously validated six-cytosine signature with subgroup-specific methylation profiles. This reduced set of markers enabled us to develop a methyl-genotyping assay capable of determining the methylation status of cytosines using qPCR instruments. This study provides a comprehensive approach for the rapid classification of clinically relevant medulloblastoma groups, using readily accessible equipment and an easy-to-use web application ¹⁾.