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» Finding Groups in Data: Cluster Analysis with Ants
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BMCBI
2007
134views more  BMCBI 2007»
13 years 6 months ago
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
NIPS
2003
13 years 8 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
WABI
2005
Springer
179views Bioinformatics» more  WABI 2005»
14 years 5 days ago
Spectral Clustering Gene Ontology Terms to Group Genes by Function
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such...
Nora Speer, Christian Spieth, Andreas Zell
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
14 years 2 hour ago
A Two-Level Approach to Making Class Predictions
In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of gr...
Adrian Costea, Tomas Eklund
ICCSA
2010
Springer
14 years 1 months ago
Personalization of Search Profile Using Ant Foraging Approach
This paper proposes a three-stage analysis of web navigation that yields search results being relevant to the user’s interests and preferences. The approach is inspired by ant fo...
Pattira Phinitkar, Peraphon Sophatsathit