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JMLR
2010
163views more  JMLR 2010»
13 years 4 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
14 years 4 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton
ICIC
2009
Springer
14 years 4 months ago
Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
Jin Zhou, Yuqi Pan, Yuehui Chen, Yang Liu
BMCBI
2008
148views more  BMCBI 2008»
13 years 10 months ago
Automating dChip: toward reproducible sharing of microarray data analysis
Background: During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the...
Cheng Li
BMCBI
2004
123views more  BMCBI 2004»
13 years 9 months ago
galaxieEST: addressing EST identity through automated phylogenetic analysis
Background: Research involving expressed sequence tags (ESTs) is intricately coupled to the existence of large, well-annotated sequence repositories. Comparatively complete and sa...
R. Henrik Nilsson, Balaji Rajashekar, Karl-Henrik ...