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» Biclustering of Expression Data Using Simulated Annealing
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BIBE
2004
IEEE
107views Bioinformatics» more  BIBE 2004»
14 years 15 days ago
Enhanced pClustering and Its Applications to Gene Expression Data
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
MDM
2007
Springer
209views Communications» more  MDM 2007»
14 years 2 months ago
Parallelized Simulated Annealing for Model Updating in Ad-Hoc Wireless Sensing Networks
The engineering community has recently begun to adopt wireless sensing technologies for use in many sensing applications. These low-cost sensors provide an optimal setting for den...
Andrew T. Zimmerman, Jerome P. Lynch
BMCBI
2011
13 years 3 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
ICPR
2008
IEEE
14 years 3 months ago
Markerless human motion capture: An application of simulated annealing and Fast Marching Method
Research into optical markerless human motion capture has attracted significant attention. However, the complexity of the human anatomy, ambiguities introduced by lacking full-pe...
Yifan Lu
EVOW
2005
Springer
14 years 2 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler