89 search results - page 5 / 18 » Mining gene expression data by interpreting principal compon... |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
BMCBI
2010
13 years 11 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...
BIODATAMINING
2008
13 years 11 months ago
2008
Background: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to st...
BMCBI
2007
13 years 11 months ago
2007
Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We deve...
FUIN
2007
13 years 10 months ago
2007
Abstract. The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional dependencies in databases. Their s...