75 search results - page 2 / 15 » Analysis of longitudinal metabolomics data |
BMCBI
2010
13 years 4 months ago
2010
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitu...
BMCBI
2008
13 years 5 months ago
2008
Background: Compared to other omics techniques, quantitative metabolomics is still at its infancy. Complex sample preparation and analytical procedures render exact quantification...
BMCBI
2007
13 years 5 months ago
2007
Background: Innovative extensions of (M) ANOVA gain common ground for the analysis of designed metabolomics experiments. ASCA is such a multivariate analysis method; it has succes...
CHI
2009
ACM
13 years 12 months ago
2009
ACM
Abstract: Best Practices in Longitudinal Research This workshop will identify best practices for longitudinal research through an in-depth exploration of methods and metrics for c...