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BMCBI
2006
142views more  BMCBI 2006»
13 years 7 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
BMCBI
2006
194views more  BMCBI 2006»
13 years 7 months ago
Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...
BMCBI
2006
94views more  BMCBI 2006»
13 years 7 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
COMCOM
2006
86views more  COMCOM 2006»
13 years 7 months ago
Study on nominee selection for multicast congestion control
Nominee selection plays a key role in nominee-based congestion control, which is essential for multicast services to ensure fairness and congestion avoidance. Without valid design...
Feng Xie, Gang Feng, Chee Kheong Siew
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...