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» Clustering Genes Using Heterogeneous Data Sources
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ICANN
2005
Springer
14 years 4 months ago
High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data
Multidimensional Scaling (MDS) is a powerful dimension reduction technique for embedding high-dimensional data into a lowdimensional target space. Thereby, the distance relationshi...
Marc Strickert, Stefan Teichmann, Nese Sreenivasul...
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
14 years 5 months ago
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
Meghana Deodhar, Joydeep Ghosh
PDP
2003
IEEE
14 years 4 months ago
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Olivier Beaumont, Arnaud Legrand, Yves Robert
BMCBI
2007
207views more  BMCBI 2007»
13 years 11 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
CORR
2006
Springer
110views Education» more  CORR 2006»
13 years 11 months ago
Methods for Partitioning Data to Improve Parallel Execution Time for Sorting on Heterogeneous Clusters
The aim of the paper is to introduce general techniques in order to optimize the parallel execution time of sorting on a distributed architectures with processors of various speeds...
Christophe Cérin, Jean-Christophe Dubacq, J...