451 search results - page 24 / 91 » Context-specific Bayesian clustering for gene expression dat... |
PSB
2003
13 years 9 months ago
2003
We propose a probabilistic model for cellular processes, and an algorithm for discovering them from gene expression data. A process is associated with a set of genes that particip...
BMCBI
2007
13 years 7 months ago
2007
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
BMCBI
2008
13 years 7 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
BIBE
2004
IEEE
13 years 11 months ago
2004
IEEE
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...