514 search results - page 29 / 103 » Gene Expression Clustering with Functional Mixture Models |
BMCBI
2005
13 years 9 months ago
2005
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
MICCAI
2004
Springer
14 years 10 months ago
2004
Springer
To better understand the development and function of the mammalian brain, researchers have begun to systematically collect a large number of gene expression patterns throughout the...
AAAI
2010
13 years 10 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
—We present new results from Computational Neurogenetic Modeling to aid discoveries of complex gene interactions underlying oscillations in neural systems. Interactions of genes ...
BMCBI
2006
13 years 9 months ago
2006
Background: One type of DNA microarray experiment is discovery of gene expression patterns for a cell line undergoing a biological process over a series of time points. Two import...