10 search results - page 1 / 2 » Exploring Multivariate Data Structures with Local Principal ... |
GFKL
2004
Springer
13 years 11 months ago
2004
Springer
BMCBI
2006
13 years 6 months ago
2006
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
BMCBI
2006
13 years 6 months ago
2006
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
BMCBI
2008
13 years 6 months ago
2008
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...