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BMCBI
2004
158views more  BMCBI 2004»
13 years 6 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
FSS
2002
84views more  FSS 2002»
13 years 5 months ago
A possibilistic approach to selecting portfolios with highest utility score
The mean-variance methodology for the portfolio selection problem, originally proposed by Markowitz, has been one of the most important research fields in modern finance. In this ...
Christer Carlsson, Robert Fullér, Pé...
JSS
2008
122views more  JSS 2008»
13 years 4 months ago
Traffic-aware stress testing of distributed real-time systems based on UML models using genetic algorithms
This report presents a model-driven, stress test methodology aimed at increasing chances of discovering faults related to network traffic in Distributed Real-Time Systems (DRTS). T...
Vahid Garousi, Lionel C. Briand, Yvan Labiche
CEC
2010
IEEE
13 years 1 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
BMCBI
2011
12 years 9 months ago
Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis
Background: Analysis of Cerebrospinal Fluid (CSF) samples holds great promise to diagnose neurological pathologies and gain insight into the molecular background of these patholog...
Lionel Blanchet, Agnieszka Smolinska, Amos Attali,...