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» Clustering Genes Using Heterogeneous Data Sources
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ISNN
2004
Springer
15 years 7 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
DBISP2P
2003
Springer
92views Database» more  DBISP2P 2003»
15 years 7 months ago
Semantic Overlay Clusters within Super-Peer Networks
When joining information provider peers to a peer-to-peer network, an arbitrary distribution is sub-optimal. In fact, clustering peers by their characteristics, enhances search and...
Alexander Löser, Felix Naumann, Wolf Siberski...
JIB
2006
110views more  JIB 2006»
15 years 2 months ago
Combining biomedical knowledge and transcriptomic data to extract new knowledge on genes
In biomedical research, interpretation of microarray data requires confrontation of data and knowledge from heterogeneous resources, either in the biomedical domain or in genomics...
Emilie Guérin, Gwenaëlle Marquet, Juli...
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ICDM
2005
IEEE
215views Data Mining» more  ICDM 2005»
15 years 8 months ago
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology
We address the issue of providing highly informative and comprehensive annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
BIRTHDAY
2010
Springer
15 years 5 months ago
Clustering the Normalized Compression Distance for Influenza Virus Data
The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...
Kimihito Ito, Thomas Zeugmann, Yu Zhu