22 search results - page 4 / 5 » A Bayesian framework for knowledge driven regression model i... |
CSB
2003
IEEE
14 years 22 days ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
EMNLP
2010
13 years 5 months ago
2010
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
BMCBI
2008
13 years 7 months ago
2008
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
BMCBI
2004
13 years 7 months ago
2004
Background: Identifying protein-protein interactions is fundamental for understanding the molecular machinery of the cell. Proteome-wide studies of protein-protein interactions ar...
JCB
2008
13 years 7 months ago
2008
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...