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BMCBI
2006
109views more  BMCBI 2006»
15 years 6 months ago
Integrated analysis of gene expression by association rules discovery
Background: Microarray technology is generating huge amounts of data about the expression level of thousands of genes, or even whole genomes, across different experimental conditi...
Pedro Carmona-Saez, Monica Chagoyen, Andrés...
ISBI
2006
IEEE
16 years 6 months ago
Sample dependence correction for order selection in fMRI analysis
Multivariate analysis methods such as independent component analysis (ICA) have been applied to the analysis of functional magnetic resonance imaging (fMRI) data to study the brai...
Tülay Adali, Vince D. Calhoun, Yi-Ou Li
CSDA
2006
96views more  CSDA 2006»
15 years 6 months ago
Analysis of new variable selection methods for discriminant analysis
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
Joaquín A. Pacheco, Silvia Casado, Laura N&...
ECML
2007
Springer
16 years 10 days ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
JCP
2008
151views more  JCP 2008»
15 years 6 months ago
The Emotion Sign: Human Motion Analysis Classifying Specific Emotion
We examine the relationship between human motion and emotions. With recent improvement of sensing technologies, although precise human motion can be measured, the amount of data gr...
Yuichi Kobayashi