• BGX

  • Referenced in 14 articles [sw06935]
  • Bioconductor package for the Bayesian integrated analysis of Affymetrix GeneChips. BGX is a new Bioconductor ... package that implements an integrated Bayesian approach to the analysis of 3’ GeneChip data...
  • iBAG

  • Referenced in 4 articles [sw32134]
  • iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data. MOTIVATION: Analyzing data from multi ... development of the disease. Current data integration approaches are limited in that they ... platforms. Statistical Model: We propose an integrative Bayesian analysis of genomics data (iBAG) framework...
  • Radio-iBAG

  • Referenced in 1 article [sw32135]
  • Radio-iBAG: radiomics-based integrative Bayesian analysis of multiplatform genomic data. Technological innovations have produced ... this paper, we present Bayesian approaches for integrative analysis of radiological imaging and multi-platform ... propose Radio-iBAG: Radiomics-based Integrative Bayesian Analysis of Multiplatform Genomic Data, a multi-scale ... Bayesian hierarchical model that involves several innovative strategies: it incorporates integrative analysis of multi-platform...
  • iBATCGH

  • Referenced in 1 article [sw19388]
  • iBATCGH: integrative Bayesian analysis of transcriptomic and CGH data. We describe a method ... integrative analysis of transcriptomic and genomic data, based on a hierarchical Bayesian model. Through...
  • UQLab

  • Referenced in 30 articles [sw19740]
  • Chair’s research, allowing for seamless integration between the many research fields engaged ... event estimation (structural reliability), global sensitivity analysis, Bayesian techniques for inverse problems, etc. After more...
  • brinla

  • Referenced in 2 articles [sw34883]
  • efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using ... issues that impede practical use of Bayesian models...
  • PyMCMC

  • Referenced in 1 article [sw24402]
  • complex integration problems that are faced in the Bayesian analysis of statistical problems. The implementation...
  • BAT

  • Referenced in 7 articles [sw00067]
  • free parameters of a model. The Bayesian Analysis Toolkit, BAT, is a software package which ... help solve statistical problems encountered in Bayesian inference. BAT is based on Bayes’ Theorem ... provides a set of algorithms for numerical integration, optimization and error propagation. Predefined models exist ... interface to ROOT allows for further analysis and graphical display of results. BAT can also...
  • meta4diag

  • Referenced in 1 article [sw15693]
  • meta4diag. Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested...
  • Arlequin

  • Referenced in 5 articles [sw11442]
  • software package integrating several basic and advanced methods for population genetics data analysis, like ... robust semantic analysis of input files, and two new methods: a Bayesian estimation of gametic...
  • phylodyn

  • Referenced in 3 articles [sw19813]
  • phylodynamic analysis based on gene genealogies. The package main functionality is Bayesian nonparametric estimation ... chain Monte Carlo-based methods and an integrated nested Laplace approximation-based approach for phylodynamic...
  • survHE

  • Referenced in 1 article [sw35581]
  • Contains a suite of functions for survival analysis in health economics. These can be used ... maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian ... post-processed to produce probabilistic sensitivity analysis and can be used to export the output...
  • cghseg

  • Referenced in 4 articles [sw06783]
  • joint analysis of multiple CGH profiles. Our contribution is multiple: we propose an integrated model ... model selection criterion based on a modified bayesian information criterion proposed in the univariate case...
  • BFDA

  • Referenced in 2 articles [sw14769]
  • Functional Data Analysis. We provide a Matlab toolbox, BFDA, that implements a Bayesian hierarchical model ... approximating the Bayesian inference process with cubic B-spline basis functions is integrated in this ... accurately smoothed functional data for follow-up analysis...
  • BACC

  • Referenced in 2 articles [sw03149]
  • provides its users with tools for Bayesian analysis, computation and communication. The current version ... user’s perspective, there is a seamless integration of special-purpose BACC commands for posterior...
  • BaySICS

  • Referenced in 1 article [sw32670]
  • user-friendly programs that perform ABC analysis renders it difficult to implement, and hence programming ... software BaySICS: Bayesian Statistical Inference of Coalescent Simulations. BaySICS provides an integrated and user-friendly ... contemporary genetic datasets. Those capabilities include joint analysis of independent tables, a graphical interface...
  • BayesTwin

  • Referenced in 1 article [sw27257]
  • MCMC program JAGS to perform Bayesian inference on genetically-informative hierarchical twin data. Simultaneously ... estimated, allowing analysis of the raw phenotypic (item-level) data. The integration of such...
  • BADER

  • Referenced in 1 article [sw20384]
  • typical applications. Here we introduce Bayesian Analysis of Differential Expression in RNA-sequencing data (BADER ... that the posterior samples can be naturally integrated into downstream gene set enrichment analyses, with...
  • MTS

  • Referenced in 4 articles [sw15485]
  • Error-correction VAR models for co-integrated time series. For model specification, the package performs ... forecasting using diffusion index, transfer function analysis, Bayesian estimation of VAR models, and multivariate time...
  • EuroForMix

  • Referenced in 0 articles [sw20112]
  • contains procedures for maximization (frequentistic) and integration (Bayesian) of the likelihood function of a gamma ... general specifications of hypotheses. Sensitivity analysis of unknown parameters can be carried out using Markov...