302 search results - page 47 / 61 » Non-parametric Mixture Models for Clustering |
BMCBI
2007
14 years 11 months ago
2007
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
BMCBI
2006
14 years 11 months ago
2006
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
IDEAL
2010
Springer
14 years 9 months ago
2010
Springer
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
ICMLA
2008
15 years 1 months ago
2008
Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
BMCBI
2008
14 years 11 months ago
2008
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...