A Bayesian Mixture Model for Partitioning Gene Expression Data
From MaRDI portal
Publication:5492091
DOI10.1111/j.1541-0420.2005.00492.xzbMath1097.62140OpenAlexW1987597996WikidataQ33254452 ScholiaQ33254452MaRDI QIDQ5492091
Publication date: 12 October 2006
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00492.x
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Biochemistry, molecular biology (92C40) Numerical analysis or methods applied to Markov chains (65C40) Genetics and epigenetics (92D10)
Related Items (8)
A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions ⋮ A Bayesian nonparametric approach for time series clustering ⋮ Partitioning gene expression data by data-driven Markov chain Monte Carlo ⋮ Bayesian Fourier clustering of gene expression data ⋮ A transdimensional Bayesian model for pattern recognition in DNA sequences ⋮ A statistical analysis of memory CD8 T cell differentiation: An application of a hierarchical state space model to a short time course microarray experiment ⋮ A Bayesian analysis for longitudinal semicontinuous data with an application to an acupuncture clinical trial ⋮ Bayesian clustering of replicated time-course gene expression data with weak signals
Uses Software
Cites Work
- Unnamed Item
- Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
- Bayesian inference for finite mixtures of generalized linear models with random effects
- How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
- Practical Bayesian Density Estimation Using Mixtures of Normals
- Clustering for Sparsely Sampled Functional Data
- Dealing With Label Switching in Mixture Models
- Finite mixture models
This page was built for publication: A Bayesian Mixture Model for Partitioning Gene Expression Data
