1208 search results - page 121 / 242 » Gene set analysis for longitudinal gene expression data |
CSB
2005
IEEE
13 years 10 months ago
2005
IEEE
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
ISBRA
2007
Springer
14 years 3 months ago
2007
Springer
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
BMCBI
2004
13 years 8 months ago
2004
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
WABI
2001
Springer
14 years 1 months ago
2001
Springer
A central issue in molecular biology is understanding the regulatory mechanisms that control gene expression. The recent flood of genomic and postgenomic data opens the way for co...
JCB
2002
13 years 8 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...