Jonathan Ronen

scMaui is a deep learning framework that integrates single-cell multiomics data, handles batch effects, and addresses missing data, showing improved performance in downstream analyses.

This study uses deep learning to analyze multi-omics data and identify cancer-related biomarkers that can classify cancer types, predict survival, and guide clinical decisions.

This paper develops a deep learning method to classify colorectal cancer subtypes and match them to cell lines using multi-omics data.

The paper presents reproducible genomics analysis pipelines using GNU Guix for RNA-seq, ChIP-seq, Bisulfite-seq, and single-cell RNA-seq, ensuring consistent results across different environments.

netSmooth improves scRNA-seq clustering by smoothing expression values using network diffusion and gene expression priors.