A semi-parametric Bayesian approach for differential expression analysis of RNA-seq data
From MaRDI portal
Publication:906075
DOI10.1007/s13253-015-0227-0zbMath1329.62444OpenAlexW2175063414WikidataQ31124737 ScholiaQ31124737MaRDI QIDQ906075
Peng Liu, Chong Wang, Fang-Fang Liu
Publication date: 29 January 2016
Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc5001703
Density estimation (62G07) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Modelling Heterogeneity With and Without the Dirichlet Process
- The \(L_{1}\)-consistency of Dirichlet mixtures in multivariate Bayesian density estimation
- Slice sampling mixture models
- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Ferguson distributions via Polya urn schemes
- Nonparametric Bayesian data analysis
- Markov chains for exploring posterior distributions. (With discussion)
- A Bayesian analysis of some nonparametric problems
- An Optimal Test with Maximum Average Power While Controlling FDR with Application to RNA‐Seq Data
- Sampling-Based Approaches to Calculating Marginal Densities
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Estimating Normal Means with a Dirichlet Process Prior
- Adaptive Rejection Sampling for Gibbs Sampling
- Detecting differential gene expression with a semiparametric hierarchical mixture method
- A Bayesian Mixture Model for Differential Gene Expression
This page was built for publication: A semi-parametric Bayesian approach for differential expression analysis of RNA-seq data
