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Now showing items 4351-4370 of 56133
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A Bayesian Algorithm for Reconstructing Climate Anomalies in Space and Time. Part 2: Comparison with the Regularized Expectation-Maximization Algorithm
(American Meterological Union, 2010)Part I presented a Bayesian algorithm for reconstructing climate anomalies in space and time (BARCAST). This method involves specifying simple parametric forms for the spatial covariance and temporal evolution of the climate ... -
Bayesian Analysis of Gene Expression Levels: Statistical Quantification of Relative mRNA Level across Multiple Strains or Treatments
(BioMed Central, 2002)Background: Methods of microarray analysis that suit experimentalists using the technology are vital. Many methodologies discard the quantitative results inherent in cDNA microarray comparisons or cannot be flexibly applied ... -
Bayesian Analysis of Haplotypes for Linkage Disequilibrium Mapping
(Cold Spring Harbor Laboratory Press, 2001)Haplotype analysis of disease chromosomes can help identify probable historical recombination events and localize disease mutations. Most available analyses use only marginal and pairwise allele frequency information. We ... -
Bayesian and "Anti-Bayesian" Biases in Sensory Integration for Action and Perception in the Size-Weight Illusion
(American Physiological Society, 2010)Which is heavier: a pound of lead or a pound of feathers? This classic trick question belies a simple but surprising truth: when lifted, the pound of lead feels heavier—a phenomenon known as the size–weight illusion. To ... -
Bayesian and Maximum Likelihood Phylogenetic Analyses of Protein Sequence Data Under Relative Branch-Length Differences and Model Violation
(BioMed Central, 2005)Background: Bayesian phylogenetic inference holds promise as an alternative to maximum likelihood, particularly for large molecular-sequence data sets. We have investigated the performance of Bayesian inference with empirical ... -
A Bayesian Approach for Fast and Accurate Gene Tree Reconstruction
(Oxford University Press, 2011)Recent sequencing and computing advances have enabled phylogenetic analyses to expand to both entire genomes and large clades, thus requiring more efficient and accurate methods designed specifically for the phylogenomic ... -
Bayesian approach to analyzing holograms of colloidal particles
(The Optical Society, 2016-10-07)We demonstrate a Bayesian approach to tracking and characterizing colloidal particles from in-line digital holograms. We model the formation of the hologram using Lorenz-Mie theory. We then use a tempered Markov-chain Monte ... -
A Bayesian approach to calibrating high-throughput virtual screening results and application to organic photovoltaic materials
(Royal Society of Chemistry (RSC), 2016)A novel approach for calibrating quantum-chemical properties determined as part of a high-throughput virtual screen to experimental analogs is presented. Information on the molecular graph is extracted through the use of ... -
Bayesian approach to single-cell differential expression analysis
(Springer Nature, 2014)Single-cell data provide a means to dissect the composition of complex tissues and specialized cellular environments. However, the analysis of such measurements is complicated by high levels of technical noise and intrinsic ... -
Bayesian Approaches for Limited Dependent Variable Change Point Problems
(Oxford University Press, 2007)Limited dependent variable (LDV) data are common in political science, and political methodologists have given much good advice on dealing with them. We review some methods for LDV "change point problems" and demonstrate ... -
Bayesian Biclustering of Gene Expression Data
(BioMed Central, 2008)Background: Biclustering of gene expression data searches for local patterns of gene expression. A bicluster (or a two-way cluster) is defined as a set of genes whose expression profiles are mutually similar within a subset ... -
Bayesian Biclustering on Discrete Data: Variable Selection Methods
(2013-10-18)Biclustering is a technique for clustering rows and columns of a data matrix simultaneously. Over the past few years, we have seen its applications in biology-related fields, as well as in many data mining projects. As ... -
Bayesian change-point analysis for atomic force microscopy and soft material indentation
(Wiley-Blackwell, 2010)Material indentation studies, in which a probe is brought into controlled physical contact with an experimental sample, have long been a primary means by which scientists characterize the mechanical properties of materials. ... -
Bayesian Changepoint Detection Through Switching Regressions: Contact Point Determination in Material Indentation Experiments
(Institute of Electrical and Electronics Engineers, 2007)Material indentation is a popular method for determining the mechanical properties of biomaterials. The basic premise of an indentation experiment is to physically displace the sample using an indenter that measures resistive ... -
Bayesian characterization of uncertainty in intra-subject non-rigid registration
(Elsevier BV, 2013)In settings where high-level inferences are made based on registered image data, the registration uncertainty can contain important information. In this article, we propose a Bayesian non-rigid registration framework where ... -
Bayesian Estimation of Mixture Models with Prespecified Elements to Compare Drug Resistance in Treatment-Naïve and Experienced Tuberculosis Cases
(Public Library of Science, 2013)We propose a Bayesian approach for estimating branching tree mixture models to compare drug-resistance pathways (i.e. patterns of sequential acquisition of resistance to individual antibiotics) that are observed among ... -
A Bayesian Framework for the Classification of Microbial Gene Activity States
(Frontiers Media S.A., 2016)Numerous methods for classifying gene activity states based on gene expression data have been proposed for use in downstream applications, such as incorporating transcriptomics data into metabolic models in order to improve ... -
Bayesian Functional Data Clustering for Temporal Microarray Data
(Hindawi Publishing Corporation, 2008)We propose a Bayesian procedure to cluster temporal gene expression microarray profiles, based on a mixed-effect smoothing-spline model, and design a Gibbs sampler to sample from the desired posterior distribution. Our ... -
Bayesian Inference Approaches for Particle Trajectory Analysis in Cell Biology
(2013-08-28)Despite the importance of single particle motion in biological systems, systematic inference approaches to analyze particle trajectories and evaluate competing motion models are lacking. An automated approach for robust ... -
Bayesian Inference for Assessing Effects of Email Marketing Campaigns
(Informa UK Limited, 2016)Email marketing has been an increasingly important tool for today’s businesses. In this paper, we propose a counting-process-based Bayesian method for quantifying the effectiveness of email marketing campaigns in conjunction ...