Author

Andrea Nathansen

Hasso Plattner InstituteORCID 0000-0001-9756-5398Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:protein sequence· 1

Frequent Co-Authors

Alexandra PacureanuiD· 1 shared Alfred LaugrosiD· 1 shared Andreas T. SchaeferiD· 1 shared Anne BonniniD· 1 shared Bernhard Y. RenardiD· 1 shared Carles BoschiD· 1 shared Carsten Waltenberg· 1 shared Jakub M. BartoszewicziD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Alexandra PacureanuORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintApr 24, 2025

Structure-Function Mapping of Olfactory Bulb Circuits with Synchrotron X-ray Nanotomography

Yuxin Zhang, Carles Bosch, Tobias Ackels…·Andreas T. Schaefer

The paper uses synchrotron X-ray nanotomography to link subcellular anatomy to odor response diversity in mouse olfactory bulb projection neurons.

4 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 28, 2023

Evaluating Tuning Strategies for Sequence Generation with Protein Language Models

Andrea Nathansen, Kevin Klein, Bernhard Y. Renard…·Jakub M. Bartoszewicz

This paper evaluates prompt tuning as a cost-efficient alternative to fine-tuning protein language models for sequence generation, finding it more efficient in resource usage but less effective than fine-tuning in sequence quality.

DOI 10.1101/2023.02.28.530492

protein sequencemachine learning (classical)

𝕏 PostBluesky