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» Gene set analysis using principal components
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CAGD
2007
119views more  CAGD 2007»
13 years 8 months ago
Principal curvatures from the integral invariant viewpoint
The extraction of curvature information for surfaces is a basic problem of Geometry Processing. Recently an integral invariant solution of this problem was presented, which is bas...
Helmut Pottmann, Johannes Wallner, Yong-Liang Yang...
BIOINFORMATICS
2008
104views more  BIOINFORMATICS 2008»
13 years 8 months ago
Gene set enrichment analysis using linear models and diagnostics
Assaf P. Oron, Zhen Jiang, Robert Gentleman
BIOINFORMATICS
2002
59views more  BIOINFORMATICS 2002»
13 years 8 months ago
Statistical analysis of a small set of time-ordered gene expression data using linear splines
Michiel J. L. de Hoon, Seiya Imoto, Satoru Miyano
CVPR
2003
IEEE
14 years 10 months ago
Statistics of Shape via Principal Geodesic Analysis on Lie Groups
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
P. Thomas Fletcher, Conglin Lu, Sarang C. Joshi
NIPS
1997
13 years 9 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis