1760 search results - page 163 / 352 » Gene set analysis using principal components |
154
Voted
CVPR
2006
IEEE
15 years 9 months ago
2006
IEEE
This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA f...
121
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BMCBI
2006
15 years 3 months ago
2006
Background: Intensity values measured by Affymetrix microarrays have to be both normalized, to be able to compare different microarrays by removing non-biological variation, and s...
175
Voted
ESANN
2006
15 years 5 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
156
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TNN
2008
15 years 3 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
128
Voted
BMCBI
2007
15 years 3 months ago
2007
Background: Overlapping genes (OGs) in bacterial genomes are pairs of adjacent genes of which the coding sequences overlap partly or entirely. With the rapid accumulation of seque...