Article

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

2021-09-03

Abstract excerpt

Estimating the mutation rate, or equivalently effective population size, is a common task in population genetics. If recombination is low or high, optimal linear estimation methods are known and well understood. For intermediate recombination rates, the calculation of optimal estimators is more challenging. As an alternative to model-based estimation, neural networks and other machine learning tools could help to...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7b122f8a-fd5e-593d-8050-ccff8208e824
DOI: 10.1101/2021.09.02.457550

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Neural Networks for self-adjusting Mutation Rate Estimation when the Recombination Rate is unknownDOI 10.1101/2021.09.02.457550Read

Estimating recombination using only the allele frequency spectrumSemantic proximity Read

Limiting relationships between selection and recombination.Semantic proximity Read

Estimating recombination rates from population-genetic data.Semantic proximity Read

Estimation of spatial demographic maps from polymorphism data using a neural network.Semantic proximity Read

Estimating the scaled mutation rate and mutation bias with site frequency data.Semantic proximity Read

Generalization of the Ewens sampling formula to arbitrary fitness landscapes.Semantic proximity Read

A Bayesian Approach to Inferring Rates of Selfing and Locus-Specific Mutation.Semantic proximity Read

The equation for response to selection and its use for prediction.Semantic proximity Read

Detecting adaptive introgression in human evolution using convolutional neural networksSemantic proximity Read

Performance evaluation of adaptive introgression classification methodsSemantic proximity Read

Genome-wide fine-scale recombination rate variation in Drosophila melanogaster.Semantic proximity Read

The distribution of the number of mutations in the genealogy of a sample from a single population.Semantic proximity Read