12 search results - page 1 / 3 » Iterative PCA for population structure analysis |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
An extension of principal component analysis called ipPCA has been proposed earlier for analyzing structure in genetic data. This non-parametric framework iteratively classifies ...
BMCBI
2011
12 years 8 months ago
2011
Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used ...
AMCS
2008
13 years 5 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
BMCBI
2006
13 years 5 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...
MIAR
2006
IEEE
13 years 11 months ago
2006
IEEE
Abstract. A main focus of statistical shape analysis is the description of variability of a population of geometric objects. In this paper, we present work in progress towards mode...