1760 search results - page 18 / 352 » Gene set analysis using principal components |
COLT
2010
Springer
13 years 6 months ago
2010
Springer
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
BMCBI
2006
13 years 8 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...
WEBI
2005
Springer
14 years 1 months ago
2005
Springer
In this work, we show that Kleinberg’s hubs and authorities model (HITS) is simply Principal Components Analysis (PCA; maybe the most widely used multivariate statistical analys...
BMCBI
2008
13 years 8 months ago
2008
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
AIPR
2002
IEEE
14 years 1 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...