Author

P. Pfaffelhuber

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

E. Huss· 1 shared F. Baumdicker· 1 shared K. E. Burger· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperEvolutionary Biology

E. Huss

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2 papers

Recent·Most cited

Neural Networks for self-adjusting Mutation Rate Estimation when the Recombination Rate is unknown

K. E. Burger, P. Pfaffelhuber, F. Baumdicker

This paper uses neural networks to estimate mutation rates in population genetics, showing they can match model-based methods for low/high recombination and outperform them for intermediate rates.

bioRxiv · Sep 2, 2021Evolutionary Biology

Genealogical distances under low levels of selection

E. Huss, P. Pfaffelhuber

The paper derives an analytic expression for the distribution of total tree length under low selection in a two-alleles model and shows trees are shorter than under neutrality for genic selection with dominance h 1/2.

bioRxiv · Apr 2, 2019Evolutionary Biology