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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2007
168views more  BMCBI 2007»
15 years 2 months ago
Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks
Background: Uncovering cellular roles of a protein is a task of tremendous importance and complexity that requires dedicated experimental work as well as often sophisticated data ...
Nikolai Daraselia, Anton Yuryev, Sergei Egorov, Il...
156
Voted
DEXAW
2004
IEEE
166views Database» more  DEXAW 2004»
15 years 6 months ago
Development of Flexible Peer-To-Peer Information Systems Using Adaptable Mobile Agents
Wide-area networks provide an easy access to many different distributed and heterogeneous data sources. The development of automated operating tools is still complex, particularly...
Jean-Paul Arcangeli, Sebastien Leriche, Marc Pante...
BMCBI
2006
149views more  BMCBI 2006»
15 years 2 months ago
HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteri
Background: Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining s...
Roel G. W. Verhaak, Mathijs A. Sanders, Maarten A....
SC
2005
ACM
15 years 8 months ago
The MHETA Execution Model for Heterogeneous Clusters
The availability of inexpensive “off the shelf” machines increases the likelihood that parallel programs run on heterogeneous clusters of machines. These programs are increasi...
Mario Nakazawa, David K. Lowenthal, Wenduo Zhou
BMCBI
2008
117views more  BMCBI 2008»
15 years 2 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...