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CCE
2008
15 years 6 months ago
Informative gene selection and design of regulatory networks using integer optimization
A central problem in bioinformatics and systems biology is the selection of appropriate models in a rational and systematic way. This fundamentally combinatorial problem can be re...
Eric Yang, Timothy Maguire, Martin L. Yarmush, Ioa...
CSDA
2008
111views more  CSDA 2008»
15 years 6 months ago
Automatic bandwidth selection for circular density estimation
Given angular data 1, . . . , n [0, 2) a common objective is to estimate the density. In the case that a kernel estimator is used, bandwidth selection is crucial to the performan...
Charles C. Taylor
IJBRA
2006
107views more  IJBRA 2006»
15 years 6 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky
IJON
2006
73views more  IJON 2006»
15 years 6 months ago
Optimal selection of time lags for TDSEP based on genetic algorithm
In this letter, a two-step learning scheme for the optimal selection of time lags is proposed for a typical temporal blind source separation (TBSS), Temporal Decorrelation source ...
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li S...
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CORR
2007
Springer
198views Education» more  CORR 2007»
15 years 6 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont