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Marcel H. Schulz

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Open access Jul 2026

AtlasLens: Metadata-centric exploration and analysis of single-cell atlases

AtlasLens is developed, an open-source R/Shiny application for interactive exploration of scRNA-seq datasets and integrated cellular atlases that integrates interactive visualization, differential expression analysis, Gene Ontology enrichment with redundancy reduction, temporal expression analysis, and context-dependent gene function profiling through GeneCOCOA.

Shamim Ashrafiyan, Iaroslav Kosaretskii, Marcel H. Schulz · 0 citations
Open access Jul 2026

Comparing machine learning methods predicting transcriptome from epigenome with applications to association studies

This work provides a foundation for applications that link epigenome variation to gene expression in human cells, by benchmarking methods on a per-gene basis, illustrating their use in a disease context and making trained models available to the community.

Fatemeh Behjati Ardakani, Shamim Ashrafiyan, Laura Rumpf et al. · 0 citations