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TCBB
2010
176views more  TCBB 2010»
15 years 5 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
192
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BMCBI
2011
15 years 1 months ago
An Agent-Based Model to study the epidemiological and evolutionary dynamics of Influenza viruses
Background: Influenza A viruses exhibit complex epidemiological patterns in a number of mammalian and avian hosts. Understanding transmission of these viruses necessitates taking ...
Benjamin Roche, John M. Drake, Pejman Rohani
TSP
2010
15 years 1 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
BMCBI
2011
14 years 10 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...
ICPR
2008
IEEE
16 years 8 months ago
Kernel bandwidth estimation in methods based on probability density function modelling
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
Adrian G. Bors, Nikolaos Nasios