Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data
From MaRDI portal
Publication:2080734
DOI10.1214/21-AOAS1582zbMath1498.62270OpenAlexW4297196216MaRDI QIDQ2080734
Publication date: 10 October 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/21-aoas1582
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Probabilistic graphical models (62H22)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Sparse inverse covariance estimation with the graphical lasso
- Estimation of multiple networks in Gaussian mixture models
- Bayesian structure learning in sparse Gaussian graphical models
- Scaling it up: stochastic search structure learning in graphical models
- Joint estimation of precision matrices in heterogeneous populations
- Tobit models: A survey
- Nonparametric Bayesian learning of heterogeneous dynamic transcription factor networks
- Efficient Gaussian graphical model determination under \(G\)-Wishart prior distributions
- Sparse covariance estimation in heterogeneous samples
- Model-based approach to the joint analysis of single-cell data on chromatin accessibility and gene expression
- Graphical models for zero-inflated single cell gene expression
- Bayesian graphical Lasso models and efficient posterior computation
- Joint estimation of multiple graphical models
- Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data
- Model selection and estimation in the Gaussian graphical model
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- The Calculation of Posterior Distributions by Data Augmentation
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Simultaneous Clustering and Estimation of Heterogeneous Graphical Models
- The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
- Equation of State Calculations by Fast Computing Machines
- Bayesian Inference of Multiple Gaussian Graphical Models
- Learning Latent Tree Graphical Models
- Detecting differential gene expression with a semiparametric hierarchical mixture method
- Gaussian graphical model‐based heterogeneity analysis via penalized fusion
- On Joint Estimation of Gaussian Graphical Models for Spatial and Temporal Data
This page was built for publication: Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data