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Integrating genomics in population models to forecast translocation success
Whole‐genome sequencing is revolutionizing our understanding of organismal biology,
including adaptations likely to influence demographic performance in different …
including adaptations likely to influence demographic performance in different …
Fast and accurate estimation of selection coefficients and allele histories from ancient and modern DNA
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 …
data that is an extension of the method CLUES. We make several substantial improvements …
[BUKU][B] Population dynamics: algebraic and probabilistic approach
UA Rozikov - 2020 - World Scientific
In this chapter we give some minimal preliminaries from biology, motivations of studying of
population dynamics, and define evolution operators and associated algebras related to free …
population dynamics, and define evolution operators and associated algebras related to free …
A numerical framework for genetic hitchhiking in populations of variable size
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 …
respectively, of their frequency within the population. Due to chromosomal linkage, the …
Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks
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 …
temporally clustered. While the cascades themselves may be obvious from the data, it is …
Forward Selection pada Support Vector Machine untuk Memprediksi Kanker Payudara
H Harafani - J. Infortech, 2020 - ejournal.bsi.ac.id
Kanker payudara merupakan masalah kesehatan yang serius, sehingga deteksi dini dari
kanker payudara dapat berperan penting dalam perencanaan pengobatan. Pada penelitian …
kanker payudara dapat berperan penting dalam perencanaan pengobatan. Pada penelitian …
[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 …
into the spectral representation of a biallelic diffusion process for drift and small mutation …
[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 …
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 …
both deterministic and stochastic forces are prevalent in all fields of science. Yet, identifying …
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 …
algorithms yields identical results with the Kingman coalescent, the Moran model, and the …