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» Clustering Based on Principal Curve
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BMCBI
2010
92views more  BMCBI 2010»
14 years 9 months ago
Integrating gene expression and GO classification for PCA by preclustering
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
Jorn R. de Haan, Ester Piek, René C. van Sc...
ISBI
2007
IEEE
15 years 3 months ago
A Novel Tag Removal Technique for Tagged Cardiac Mri and Its Applications
In this paper we present a novel tag removal method for tagged cardiac MR images. This method is based on a 2D bandstop filtering technique, which selectively attenuates the tag ...
Zhen Qian, Rui Huang, Dimitris N. Metaxas, Leon Ax...
PAMI
2007
253views more  PAMI 2007»
14 years 9 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
112
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BMCBI
2011
14 years 4 months ago
The dChip survival analysis module for microarray data
Background: Genome-wide expression signatures are emerging as potential marker for overall survival and disease recurrence risk as evidenced by recent commercialization of gene ex...
Samir B. Amin, Parantu K. Shah, Aimin Yan, Sophia ...
75
Voted
ICML
2008
IEEE
15 years 10 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann