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» Large scale hierarchical clustering of protein sequences
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KDD
2002
ACM
194views Data Mining» more  KDD 2002»
15 years 11 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
73
Voted
BMCBI
2006
159views more  BMCBI 2006»
14 years 11 months ago
ProtRepeatsDB: a database of amino acid repeats in genomes
Background: Genome wide and cross species comparisons of amino acid repeats is an intriguing problem in biology mainly due to the highly polymorphic nature and diverse functions o...
Mridul K. Kalita, Gowthaman Ramasamy, Sekhar Durai...
JDCTA
2010
152views more  JDCTA 2010»
14 years 5 months ago
Spatial Clustering Algorithm Based on Hierarchical-Partition Tree
In spatial clustering, the scale of spatial data is usually very large. Spatial clustering algorithms need high performance, good scalability, and are able to deal with noise and ...
Zhongzhi Li, Xuegang Wang
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
15 years 5 months ago
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks
Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereb...
Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan...
ISBRA
2007
Springer
15 years 5 months ago
Clustering Algorithms Optimizer: A Framework for Large Datasets
Clustering algorithms are employed in many bioinformatics tasks, including categorization of protein sequences and analysis of gene-expression data. Although these algorithms are r...
Roy Varshavsky, David Horn, Michal Linial