746 search results - page 69 / 150 » Clustering of Gene Expression Data: Performance and Similari... |
BMCBI
2010
14 years 10 months ago
2010
Background: Combining data from different ethnic populations in a study can increase efficacy of methods designed to identify expression quantitative trait loci (eQTL) compared to...
112
click to vote
IJDMB
2008
14 years 9 months ago
2008
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
107
click to vote
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
BMCBI
2006
14 years 9 months ago
2006
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
BMCBI
2008
14 years 10 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...