We propose a dynamic Bayesian network and nonparametric regression model for constructing a gene network from time series microarray gene expression data.

Abstract. We propose a dynamic Bayesian network and nonparametric regression model for constructing a gene network from time series microarray gene ...

Feb 28, 2003 · We propose a dynamic Bayesian network and nonparametric regression model for constructing a gene network from time series microarray gene expression data.

Abstract. We propose a dynamic Bayesian network and nonparamet- ric regression model for constructing a gene network from time series.

A dynamic Bayesian network and nonparametric regression model for constructing a gene network from time series microarray gene expression data and derive a ...

A Bayesian network is a powerful tool for modeling relations among a large number of random variables. Therefore the Bayesian network has received ...

We propose a dynamic Bayesian network and nonparametric regression model for constructing a gene network from time series microarray gene expression data.

A dynamic Bayesian network and nonparametric regression model for estimating a gene network with cyclic regulations from time series microarray data is ...

We propose a dynamic Bayesian network and nonparametric regression model for constructing a gene network from time series microarray gene expression data.

In some embodiments of this invention, networks can be constructed using Bayesian estimation with nonparametric regression using data from time series studies.