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A Contribution on the Diet of the Warty Crab, Eriphia verrucosa (Forskål, 1775) by Informative Bayesian Stable Isotope Mixing Models
AbstractThe present study aims to determine the diet composition of Eriphia verrucosa using an informative and uninformative approach in which the...
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Capture-Recapture: Bayesian Methods
This chapter outlines the development of Bayesian methods for estimating abundance in closed population capture-recapture models. We describe model...
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Develo** a Bayesian Model of Climate-Induced Lake Overturn in Talisay, Taal Lake
Significant fish kills in Taal Lake in Talisay, Batangas Province, which created major economic setbacks in the area, were mainly attributed to lake...
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Consensus clustering for Bayesian mixture models
BackgroundCluster analysis is an integral part of precision medicine and systems biology, used to define groups of patients or biomolecules....
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Bayesian compositional regression with microbiome features via variational inference
The microbiome plays a key role in the health of the human body. Interest often lies in finding features of the microbiome, alongside other...
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Bayesian kinetic modeling for tracer-based metabolomic data
BackgroundStable Isotope Resolved Metabolomics (SIRM) is a new biological approach that uses stable isotope tracers such as uniformly
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Bayesian inference of root architectural model parameters from synthetic field data
Background and aimsCharacterizing root system architectures of field-grown crops is challenging as root systems are hidden in the soil. We...
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BGWAS: Bayesian variable selection in linear mixed models with nonlocal priors for genome-wide association studies
BackgroundGenome-wide association studies (GWAS) seek to identify single nucleotide polymorphisms (SNPs) that cause observed phenotypes. However,...
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Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling
The identification of tumor-specific molecular dependencies is essential for the development of effective cancer therapies. Genetic and chemical...
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Bayesian evaluation of the effect of non-genetic factors on the phenomics for quality-related milk nutrients and yield in Murciano-Granadina goats
The aim of this study was to evaluate the effect of non-genetic factors on the variability of milk production and composition using Bayesian linear...
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Practical application of a Bayesian network approach to poultry epigenetics and stress
BackgroundRelationships among genetic or epigenetic features can be explored by learning probabilistic networks and unravelling the dependencies...
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Inference about quantitative traits under selection: a Bayesian revisitation for the post-genomic era
BackgroundSelection schemes distort inference when estimating differences between treatments or genetic associations between traits, and may degrade...
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Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
Focal drug resistant epilepsy is a neurological disorder characterized by seizures caused by abnormal activity originating in one or more regions...
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Bayesian N-Mixture Models Applied to Estimating Insect Abundance
Estimating animal abundance is an area of interest for many conservationists and population ecologists. When using count data to obtain abundance...
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Bayesian and Classical Prediction Models for Categorical and Count Data
In this chapter, we explain, under a Bayesian framework, the fundamentals and practical issues for implementing genomic prediction models for...
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Species-specific trophic discrimination factors can reduce the uncertainty of stable isotope analyses
Stable isotope analysis has been broadly used to study food webs, but often relies on inaccurate assumptions of trophic isotopic discriminations,...
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baredSC: Bayesian approach to retrieve expression distribution of single-cell data
BackgroundThe number of studies using single-cell RNA sequencing (scRNA-seq) is constantly growing. This powerful technique provides a sampling of...
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The domestication and breeding history of Castanea crenata Siebold et Zucc. estimated by direction of gene flow and approximate Bayesian computation
Japanese chestnut ( Castanea crenata Siebold et Zucc.) is the only fruit tree species to have been domesticated in Japan, and it has been a part of...
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Bayesian non-parametric detection heterogeneity in ecological models
Detection heterogeneity is inherent to ecological data, arising from factors such as varied terrain or weather conditions, inconsistent sampling...
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scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model
A surge in research has occurred because of current developments in single-cell technologies. Above all, single-cell Assay for Transposase-Accessible...
