A temporal hidden Markov regression model for the analysis of gene regulatory networks
From MaRDI portal
Publication:2839001
DOI10.1093/biostatistics/kxm007zbMath1267.62091OpenAlexW2149779086WikidataQ80075604 ScholiaQ80075604MaRDI QIDQ2839001
Joseph G. Ibrahim, Mayetri Gupta, Pingping Qu
Publication date: 4 July 2013
Published in: Biostatistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biostatistics/kxm007
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Markov processes: estimation; hidden Markov models (62M05) Monte Carlo methods (65C05) Genetics and epigenetics (92D10) Systems biology, networks (92C42)
Related Items (9)
Mixed Hidden Markov Models for Longitudinal Data: An Overview ⋮ Varying-coefficient hidden Markov models with zero-effect regions ⋮ Bayesian Quantile Regression for Big Data Analysis ⋮ Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection ⋮ Bayesian analysis of dynamic panel data by penalized quantile regression ⋮ Bayesian Tobit quantile regression usingg-prior distribution with ridge parameter ⋮ Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling ⋮ An Integrative Bayesian Modeling Approach to Imaging Genetics ⋮ Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study
Uses Software
This page was built for publication: A temporal hidden Markov regression model for the analysis of gene regulatory networks