541 search results - page 49 / 109 » Incorporating Gene Ontology in Clustering Gene Expression Da... |
BMCBI
2007
13 years 7 months ago
2007
Background: The central role of transcription factors (TFs) in higher eukaryotes has led to much interest in deciphering transcriptional regulatory interactions. Even in the best ...
BMCBI
2004
13 years 8 months ago
2004
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
BIOCOMP
2006
13 years 9 months ago
2006
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
APBC
2004
13 years 9 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
BMCBI
2010
13 years 8 months ago
2010
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...