1760 search results - page 53 / 352 » Gene set analysis using principal components |
BMCBI
2007
2007
FUNC: a package for detecting significant associations between gene sets and ontological annotations
13 years 8 months ago
Background: Genome-wide expression, sequence and association studies typically yield large sets of gene candidates, which must then be further analysed and interpreted. Informatio...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
TNN
2008
13 years 8 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
PAMI
2002
13 years 7 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...