Integrating genomics in population models to forecast translocation success

T Seaborn, KR Andrews, CV Applestein… - Restoration …, 2021 - Wiley Online Library
Whole‐genome sequencing is revolutionizing our understanding of organismal biology,
including adaptations likely to influence demographic performance in different …

Fast and accurate estimation of selection coefficients and allele histories from ancient and modern DNA

AH Vaughn, R Nielsen - Molecular Biology and Evolution, 2024 - academic.oup.com
We here present CLUES2, a full-likelihood method to infer natural selection from sequence
data that is an extension of the method CLUES. We make several substantial improvements …

A numerical framework for genetic hitchhiking in populations of variable size

E Friedlander, M Steinrücken - Genetics, 2022 - academic.oup.com
Natural selection on beneficial or deleterious alleles results in an increase or decrease,
respectively, of their frequency within the population. Due to chromosomal linkage, the …

[PDF][PDF] Forward Selection pada Support Vector Machine untuk Memprediksi Kanker Payudara

H Harafani - Jurnal Infortech, 2019 - academia.edu
Kanker payudara merupakan masalah kesehatan yang serius, sehingga deteksi dini dari
kanker payudara dapat berperan penting dalam perencanaan pengobatan. Pada penelitian …

Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks

A Bregoli, K Rathsman, M Scutari, F Stella… - arXiv preprint arXiv …, 2023 - arxiv.org
Interacting systems of events may exhibit cascading behavior where events tend to be
temporally clustered. While the cascades themselves may be obvious from the data, it is …

[HTML][HTML] A nearly-neutral biallelic Moran model with biased mutation and linear and quadratic selection

C Vogl, LC Mikula - Theoretical Population Biology, 2021 - Elsevier
In this article, a biallelic reversible mutation model with linear and quadratic selection is
analysed. The approach reconnects to one proposed by Kimura (1979), who starts from a …

Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems

D Maoutsa - arXiv preprint arXiv:2301.08102, 2023 - arxiv.org
Stochastic evolution equations describing the dynamics of systems under the influence of
both deterministic and stochastic forces are prevalent in all fields of science. Yet, identifying …

[HTML][HTML] The expected sample allele frequencies from populations of changing size via orthogonal polynomials

LC Mikula, C Vogl - Theoretical Population Biology, 2024 - Elsevier
In this article, discrete and stochastic changes in (effective) population size are incorporated
into the spectral representation of a biallelic diffusion process for drift and small mutation …

Forward-backward algorithms with a biallelic mutation-drift model: Orthogonal polynomials, and a coalescent/urn-model based approach

C Vogl, S Peer, LC Mikula - arXiv preprint arXiv:2112.09394, 2021 - arxiv.org
Inference of the marginal likelihood of sample allele configurations using backward
algorithms yields identical results with the Kingman coalescent, the Moran model, and the …

Inference of population genetic parameters with a biallelic mutation drift model using the coalescent, diffusion with orthogonal polynomials, and the Moran model

C Vogl, S Peer - arXiv preprint arXiv:2004.00834, 2020 - arxiv.org
In population genetics, extant samples are usually used for inference of past population
genetic forces. With the Kingman coalescent and the backward diffusion equation, inference …