TRON-Bioinformatics/VariantMedium: v1.2.1
Abstract
VariantMedium is a deep learning-based somatic variant caller for matched tumor-normal short-read sequencing data. It integrates machine learning–based filtering and 3D convolutional neural networks to classify candidate sites as somatic, germline, or non-variant, with high sensitivity and robustness across diverse genomic contexts and sample types.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 May 2026
- Language
- EN