Author

Taras Savchyn

Max Delbrück Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:diffusion model· 1

Frequent Co-Authors

Ahmet SarıgüniD· 1 shared Ali Önder YildirimiD· 1 shared Altuna AkaliniD· 1 shared Bora UyariD· 1 shared Deborah SchmidtiD· 1 shared Diana Porras-GonzaleziD· 1 shared Ella BahryiD· 1 shared Gerald BurgstalleriD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Ahmet SarıgünORCID

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2 papers

Recent·Most cited

A generative AI framework for disease-specific lung microtissue bioengineering

Ella Bahry, Jeanine C. Pestoni, Kai Hirzel, Taras Savchyn, Diana Porras-Gonzalez, V. Getmanchuk-Zaporoshchenko, Martin Gregor, Thomas M. Conlon, Ali Önder Yildirim, Kyle Harrington, Deborah Schmidt, Gerald Burgstaller, Michael Heymann

This paper introduces a generative AI framework for designing and fabricating disease-specific lung microtissues using 3D imaging and bioprinting.

bioRxiv · Apr 16, 2026 · PreprintBioengineering

Flexynesis: A deep learning framework for bulk multi-omics data integration for precision oncology and beyond

Bora Uyar, Taras Savchyn, Ricardo Wurmus, Ahmet Sarıgün, Mohammed Maqsood Shaik, Vedran Franke, Altuna Akalin

Flexynesis provides a versatile deep learning framework for integrating bulk multi-omics data, offering usability, adaptability, and benchmarking across diverse datasets.

bioRxiv · Jul 16, 2024 · PreprintBioinformatics