252 search results - page 21 / 51 » Analysis techniques for microarray time-series data |
IDA
2007
Springer
13 years 8 months ago
2007
Springer
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...
BMCBI
2010
13 years 8 months ago
2010
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
BMCBI
2011
13 years 3 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
EVOW
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
CIBCB
2005
IEEE
14 years 2 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...