Boeva Lab, ETH Zurich

Early feature extraction determines performance: systematic evaluation of deep learning models for high-resolution chromatin accessibility prediction

CDState: An unsupervised approach to predict malignant cell heterogeneity in tumor bulk RNA-sequencing data

UniversalEPI: Harnessing Attention Mechanisms to Decode Chromatin Interactions in Rare and Unexplored Cell Types

An interpretable deep learning framework for understanding the DNA code of chromatin looping

ANS_signature_scoring: A gene expression signature scoring Python package.

This is the repository hosting all the source code of the DeepCAST-GWAS method.

ONCOCNV - a package to detect copy number changes in Targeted Deep Sequencing and Exome-seq data