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BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 5 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
IPPS
2007
IEEE
13 years 11 months ago
Modeling of NAMD's Network Input/Output on Large PC Clusters
This study examined the interplay among processor speed, cluster interconnect and file I/O, using parallel applications to quantify interactions. We focused on a common case wher...
Nancy Tran, Daniel A. Reed
HAIS
2009
Springer
13 years 10 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
BMCBI
2011
13 years 13 days 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
BMCBI
2005
73views more  BMCBI 2005»
13 years 5 months ago
Evaluation of Glycine max mRNA clusters
Background: Clustering the ESTs from a large dataset representing a single species is a convenient starting point for a number of investigations into gene discovery, genome evolut...
Ronald L. Frank, Fikret Erçal