Author

Katrin Sophie Bohnsack

Hochschule MittweidaORCID 0000-0002-2361-107XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Organism:virus· 1

Frequent Co-Authors

Marika KadeniD· 2 shared Mirko WeberiD· 2 shared Thomas VillmanniD· 2 shared Christoph LeberechtiD· 1 shared Jacek BłażewicziD· 1 shared Julia AbeliD· 1 shared Kaja GutowskaiD· 1 shared Mateusz Kudła· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

Marika KadenORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 3, 2020

Detection of native and mirror protein structures based on Ramachandran plot analysis by interpretable machine learning models

Julia Abel, Marika Kaden, Katrin Sophie Bohnsack…·Thomas Villmann

The paper uses interpretable machine learning to classify protein structures as native or mirror based on Ramachandran plot analysis with high accuracy.

1 citation

protein structuremachine learning (classical)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 15, 2020

Analysis of SARS-CoV-2 RNA-Sequences by Interpretable Machine Learning Models

Marika Kaden, Katrin Sophie Bohnsack, Mirko Weber…·Thomas Villmann

The paper applies interpretable machine learning to classify and analyze SARS-CoV-2 sequences, identifying potential new virus types through rejected classifications.

3 citations

virusbulk RNA-seq

𝕏 PostBluesky