Author

Jan Voges

Institute of Information Processing, Leibniz University Hannover, Hannover, Germany;ORCID 0000-0002-6080-660XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:Hi-C· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Mikel HernaeziD· 2 shared Yeremia Gunawan AdhisantosoiD· 2 shared Claudio Albert· 1 shared Daniel NaroiD· 1 shared Daniele Renzi· 1 shared Fabian MünteferingiD· 1 shared Giorgio Zoia· 1 shared Idoia OchoaiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Mikel HernaezORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

RAPTORGraph: graph-based pathway modeling for causal discovery in single-cell perturbations

Yeremia Gunawan Adhisantoso, Stephanie Kristin Schröder, Maximilian Greß, Mikel Hernaez, Jan Voges

RAPTORGraph improves causal discovery in single-cell perturbations by modeling gene interactions and isolating perturbation effects, outperforming existing methods on downstream analyses.

bioRxiv · Nov 4, 2026 · PreprintBioinformatics

HiCMC: High-Efficiency Contact Matrix Compressor

Yeremia Gunawan Adhisantoso, Tim Körner, Fabian Müntefering, Jörn Östermann, Jan Voges

HiCMC compresses Hi-C data more efficiently than existing methods by modeling chromosome structures, improving compression rates across multiple cell lines and resolutions.

BMC Bioinformatics · Sep 10, 2024Peer-reviewedBioinformatics

An introduction to MPEG-G, the new ISO standard for genomic information representation

Claudio Albert, Tom Paridaens, Jan Voges, Daniel Naro, Junaid J. Ahmad, M. Ravasi, Daniele Renzi, Giorgio Zoia, Paolo Ribeca, Idoia Ochoa, Marco Mattavelli, Jaime Delgado, Mikel Hernáez

This paper introduces MPEG-G, an ISO standard for genomic data compression, highlighting its format, decoding process, and interoperability features.

bioRxiv · Oct 8, 2018 · PreprintBioinformatics