Author

Fabian Paul

University of ChicagoORCID 0000-0002-1478-1827Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Assay:electronic health records· 2

Frequent Co-Authors

Jan L. MünchiD· 2 shared Ralf SchmauderiD· 2 shared Klaus BenndorfiD· 1 shared Michael HabeckiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Jan L. MünchORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 20, 2024

Using Bayesian priors to overcome non-identifiablility issues in Hidden Markov models

Jan L. Münch, Ralf Schmauder, Fabian Paul, Michael Habeck

The paper uses Bayesian priors to address non-identifiability in HMMs applied to patch clamp data, improving inference accuracy with minimal prior assumptions.

DOI 10.1101/2024.04.20.590387

electronic health recordsBayesian inference

𝕏 PostBluesky

BioinformaticseLifePeer-reviewedMay 4, 2022

Bayesian inference of kinetic schemes for ion channels by Kalman filtering

Jan L. Münch, Fabian Paul, Ralf Schmauder, Klaus Benndorf

This paper develops a Bayesian filter with Kalman filtering to infer kinetic schemes for ion channels, showing improved accuracy and uncertainty quantification compared to classical methods.

11 citations

electronic health recordsBayesian inference

𝕏 PostBluesky