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» COMPACT: A Comparative Package for Clustering Assessment
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ISPA
2005
Springer
13 years 10 months ago
COMPACT: A Comparative Package for Clustering Assessment
Abstract. There exist numerous algorithms that cluster data-points from largescale genomic experiments such as sequencing, gene-expression and proteomics. Such algorithms may emplo...
Roy Varshavsky, Michal Linial, David Horn
BMCBI
2010
164views more  BMCBI 2010»
13 years 1 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
BMCBI
2010
153views more  BMCBI 2010»
13 years 4 months ago
Starr: Simple Tiling ARRay analysis of Affymetrix ChIP-chip data
Background: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is an assay used for investigating DNA-protein-binding or post-translational chromatin/histone ...
Benedikt Zacher, Pei Fen Kuan, Achim Tresch
ICIP
2002
IEEE
14 years 6 months ago
Fuzzy color signatures
With the large and increasing amount of visual information available in digital libraries and the Web, efficient and robust systems for image retrieval are urgently needed. In thi...
Andrés Dorado, Ebroul Izquierdo
IPPS
2006
IEEE
13 years 10 months ago
MegaProto/E: power-aware high-performance cluster with commodity technology
In our research project named “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, we have been developing a prototype cluster not based on ASIC or FPGA...
Taisuke Boku, Mitsuhisa Sato, Daisuke Takahashi, H...