666 search results - page 53 / 134 » Analyzing time series gene expression data |
127
click to vote
BMCBI
2007
15 years 4 months ago
2007
Background: To better understand the response of urinary epithelial (urothelial) cells to Enterococcus faecalis, a uropathogen that exhibits resistance to multiple antibiotics, a ...
122
click to vote
CSB
2004
IEEE
15 years 8 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
144
click to vote
BMCBI
2010
15 years 4 months ago
2010
Background: In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one ...
137
click to vote
BMCBI
2010
15 years 4 months ago
2010
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
120
click to vote
BMCBI
2006
15 years 4 months ago
2006
Background: Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for ident...