"bayesian network analyses" trang 4 - tải miễn phí từ tailieunhanh
Cancer burden in China: A Bayesian approach

Cancer burden in China: A Bayesian approach
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External validation of the Bayesian Estimated Tools for Survival (BETS) models in patients with surgically treated skeletal metastases

External validation of the Bayesian Estimated Tools for Survival (BETS) models in patients with surgically treated skeletal metastases
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A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks

A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
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Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis

Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis
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MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package

MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package
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A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier

A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier
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Epi-GTBN: An approach of epistasis mining based on genetic Tabu algorithm and Bayesian network

Epi-GTBN: An approach of epistasis mining based on genetic Tabu algorithm and Bayesian network
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ShinyBN: An online application for interactive Bayesian network inference and visualization

ShinyBN: An online application for interactive Bayesian network inference and visualization
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Prediction of regulatory targets of alternative isoforms of the epidermal growth factor receptor in a glioblastoma cell line

Prediction of regulatory targets of alternative isoforms of the epidermal growth factor receptor in a glioblastoma cell line
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Classical and Bayesian random-effects meta-analysis models with sample quality weights in gene expression studies

Classical and Bayesian random-effects meta-analysis models with sample quality weights in gene expression studies
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DM-PhyClus: A Bayesian phylogenetic algorithm for infectious disease transmission cluster inference

DM-PhyClus: A Bayesian phylogenetic algorithm for infectious disease transmission cluster inference
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Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors
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A hybrid model for predicting missile impact damages based on K-nearest neighbors and bayesian optimization

A hybrid model for predicting missile impact damages based on K-nearest neighbors and bayesian optimization
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An integrative Bayesian Dirichletmultinomial regression model for the analysis of taxonomic abundances in microbiome data

An integrative Bayesian Dirichletmultinomial regression model for the analysis of taxonomic abundances in microbiome data
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High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network

High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network
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Afull Bayesian partitionmodelfor identifying hypo- and hyper-methylated loci from single nucleotide resolution sequencing data

Afull Bayesian partitionmodelfor identifying hypo- and hyper-methylated loci from single nucleotide resolution sequencing data
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Discovering causal interactions using Bayesian network scoring and information gain

Discovering causal interactions using Bayesian network scoring and information gain
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EmpPrior: Using outside empirical data to inform branch-length priors for Bayesian phylogenetics

EmpPrior: Using outside empirical data to inform branch-length priors for Bayesian phylogenetics
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LEON-BIS: Multiple alignment evaluation of sequence neighbours using a Bayesian inference system

LEON-BIS: Multiple alignment evaluation of sequence neighbours using a Bayesian inference system
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POPE: Post optimization posterior evaluation of likelihood free models

POPE: Post optimization posterior evaluation of likelihood free models
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