Author

Mohit Navandar

Johannes Gutenberg University MainzORCID 0009-0009-7377-6153Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Susanne GerberiD· 2 shared Azza Soliman· 1 shared Daniel PiehiD· 1 shared Illia HorenkoiD· 1 shared Jannik Foerster· 1 shared Jennifer WinteriD· 1 shared Katalin KomlósiiD· 1 shared Lea ZografidouiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersPathology

Susanne GerberORCID

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2 papers

Recent·Most cited

PathologybioRxivPreprintMay 8, 2026

16p11.2 Copy Number Variation Alters Genome Architecture and Transcriptional Regulation During Neurodevelopment

Marco Bertin, Marcel Misak, Mohit Navandar…·Susann Schweiger

This study investigates how 16p11.2 copy number variations affect genome architecture and transcription during neurodevelopment, finding both local dosage effects and broader chromatin changes.

DOI 10.64898/2026.05.07.723480

humanbulk RNA-seq

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BioinformaticsScience AdvancesPeer-reviewedJan 29, 2020

Low-cost scalable discretization, prediction and feature selection for complex systems

Susanne Gerber, Lukáš Pospíšil, Mohit Navandar, Illia Horenko

The paper introduces a low-cost computational tool for discretization, prediction, and feature selection in complex systems, achieving significant cost and performance improvements.

36 citationstop 4%

statistical modelbenchmarking

𝕏 PostBluesky