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BMCBI
2008
160views more  BMCBI 2008»
13 years 10 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
DATAMINE
2006
89views more  DATAMINE 2006»
13 years 10 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh
IR
2006
13 years 10 months ago
Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments
Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering...
Tuomo Korenius, Jorma Laurikkala, Martti Juhola, K...
WWW
2007
ACM
14 years 10 months ago
Analysis of topological characteristics of huge online social networking services
Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life socia...
Yong-Yeol Ahn, Seungyeop Han, Haewoon Kwak, Sue B....
BMCBI
2010
104views more  BMCBI 2010»
13 years 10 months ago
A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-or
Background: G protein-coupled receptors (GPCRs) represent a family of well-characterized drug targets with significant therapeutic value. Phylogenetic classifications may help to ...
Eelke van der Horst, Julio E. Peironcely, Adriaan ...