Reciprocal graphical models for integrative gene regulatory network analysis
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Publication:1631597
DOI10.1214/17-BA1087zbMath1407.62408arXiv1607.06849MaRDI QIDQ1631597
Yang Ni, Yuan Ji, Peter Mueller
Publication date: 6 December 2018
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1607.06849
network analysisfeedback loopsimultaneous equation modelsMarkov equivalencedirected cyclesmultimodal genomic data
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Systems biology, networks (92C42)
Related Items (2)
Bayesian graphical models for modern biological applications ⋮ Bayesian inference of causal effects from observational data in Gaussian graphical models
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Cites Work
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- Modeling dependent gene expression
- A Bayesian graphical modeling approach to microRNA regulatory network inference
- Markov properties of nonrecursive causal models
- Invertibility of random matrices: norm of the inverse
- The Littlewood-Offord problem and invertibility of random matrices
- Bayesian nonlinear model selection for gene regulatory networks
- Joint High‐Dimensional Bayesian Variable and Covariance Selection with an Application to eQTL Analysis
- Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data
- Bayesian analysis of matrix normal graphical models
- On the use of Non-Local Prior Densities in Bayesian Hypothesis Tests
- Modeling Protein Expression and Protein Signaling Pathways
- A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications
- Sampling decomposable graphs using a Markov chain on junction trees
- Covariate-adjusted precision matrix estimation with an application in genetical genomics
- Detecting differential gene expression with a semiparametric hierarchical mixture method
- Hierarchical Graphical Models
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