81 search results - page 2 / 17 » Nonparametric Bayesian Sparse Factor Models with application... |
CSB
2002
IEEE
13 years 10 months ago
2002
IEEE
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
RECOMB
2001
Springer
14 years 5 months ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
NIPS
2008
13 years 6 months ago
2008
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
BMCBI
2007
13 years 5 months ago
2007
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
JMLR
2008
13 years 5 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...