Population structure from Bayesian clustering analyses
BAPS: Bayesian Analysis of Population Structure
... individuals from each population, 3) the number of iterations that are used to estimate the admixture coefficients for the reference ...the population estimated in genetic mixture analysis (see ...
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Fast hierarchical Bayesian analysis of population structure
... algorithms, population structure was simulated using scrm as part of the Coala R package ...Three clustering algorithms were considered in ad- dition to the fastbaps ...fully Bayesian ...
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Bayesian Clustering Using Hidden Markov Random Fields in Spatial Population Genetics
... a population with a strong female ...recovered from four female concentra- tion ...the Bayesian clustering algorithm STRUCTURE), M anel et ...distinct from the original female ...
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MC2: A Deeper Look at ZwCl 2341.1+0000 with Bayesian Galaxy Clustering and Weak Lensing Analyses
... information from previously observed systems, a general understanding of the merger process has ...stripped from the parent clusters, leaving that gas lagging behind the other ...lost. From ...
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Population based analyses of Giardia duodenalis is consistent with the clonal assemblage structure
... denalis population. Thus, multilocus sequence types from field isolates, which consist of more than one as- semblage, should be interpreted as a mixed ...
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Bayesian Methods for Graph Clustering
... underlying structure of a network. In this context, the Block-Clustering model has been applied on random ...latent structure of a graph, the edges are independent and generated from a ...
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Population structure analyses and demographic history of the malaria vector Anopheles albimanus from the Caribbean and the Pacific regions of Colombia
... haplotypes from each ...albimanus from the Caribbean coast approximately 21,994 years ago during the late ...populations from the different biogeographic provinces could not be entirely attributed to ...
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Genotypic and Lipid Analyses of Strains From the Archaeal Genus Halorubrum Reveal Insights Into Their Taxonomy, Divergence, and Population Structure
... 1 population would have gone undetected, or might have been considered a one-off ...Our population data showing that all the group 1 Aran-Bidgol strains were similar to each other and different from ...
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Likelihood-Free Inference of Population Structure and Local Adaptation in a Bayesian Hierarchical Model
... selection from genetic data, accounting for the confounding effects of demographic ...sampled from the same underlying distribution, often approximated by a coalescent ...a population affects the ...
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Bayesian Clustering Of Indonesian Rice Germplasm
... padi, bayesian cluster, high throughput genotyping ABSTRACT Model-based clustering where the inference on the parameters follow the Bayesian principle has been used to cluster 467 accessions of ...
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Efficient Bayesian Clustering for Reinforcement Learning
... the structure of the MDP state ...starting from the start state, in a breadth-first fashion, where the traversal follows the transitions that are a priori possible due to the set of possible ...
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Bayesian network learning for natural hazard analyses
... profit from several attractive prop- erties inherent to the BN ...DAG structure and parameters can be learned from ...predict from incomplete observations allows for hazard estimations at an ...
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Impact of population, age structure, and urbanization on carbon emissions/energy consumption: Evidence from macro level, cross country analyses
... in population elasticity estimations—sometimes significantly greater than one, sometimes significantly less than one; whereas, cross-sectional analyses typically have estimated population ...
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Are CEOs in Family Firms Paid Like Bureaucrats? Evidence from Bayesian and Frequentist Analyses
... the structure of executive pay in family firms, in particular its respective shares of base salary, annual bonus, long-term incentive plans, stock, and stock ...pay. From an agency theory perspective, it is ...
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Bayesian correlated clustering to integrate multiple datasets
... 2.2 Dependent component allocations We are interested in the situation where we have a collection of n genes, for each of which we have measurements from K different data sources. One possible modelling approach ...
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Bayesian clustering of curves and the search of the partition space
... a Bayesian-network-like structure and semantics similar to a Bayesian network but with a variety of different types of edges and different semantics to read from ...
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Bayesian density regression and predictor-dependent clustering
... latent structure is specified through constraints on factor loadings, in which one may incorporate prior knowledge about relationships between observed and latent ...factor structure in z i by introducing a ...
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A Variational Bayesian Framework for Clustering with Multiple Graphs
... graph clustering is one graph only. Graph clustering methods, such as probabilistic models (including PMSG) [10], [11] and spectral clus- tering [6], can be applied to our problem after generat- ing an ...
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Multi-facet determination for clustering with Bayesian networks
... Given their population-based nature, EAs are suited to the application of dynamic programming techniques. Dynamic programming proposes to divide a problem into a set of smaller ones whose solutions can then be ...
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Nonparametric Bayesian Clustering Ensembles
... datasets from the UCI Machine Learning Repos- itory 4 : Glass, Ecoli, ImageSegmentation, ISOLET, and ...data from images that were hand-segmented classifying each ...datasets from different ...
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