270 search results - page 23 / 54 » Contribution to Gene Expression Data Analysis by Means of Se... |
BMCBI
2010
13 years 2 months ago
2010
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
BMCBI
2008
13 years 7 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
BMCBI
2004
13 years 7 months ago
2004
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
BMCBI
2008
13 years 7 months ago
2008
Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
IDA
2005
Springer
14 years 28 days ago
2005
Springer
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...