161 search results - page 19 / 33 » Clustering gene expression patterns of fly embryos |
BMCBI
2006
14 years 10 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
EVOW
2005
Springer
15 years 4 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...
118
click to vote
BMCBI
2006
14 years 10 months ago
2006
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
175
click to vote
ICDE
2009
IEEE
16 years 8 days ago
2009
IEEE
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
RECOMB
2002
Springer
15 years 10 months ago
2002
Springer
We introduce a model-based analysis technique for extracting and characterizing rhythmic expression pro les from genome-wide DNA microarray hybridization data. These patterns are ...