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» Default Clustering from Sparse Data Sets
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BIB
2008
141views more  BIB 2008»
13 years 8 months ago
Detecting short tandem repeats from genome data: opening the software black box
Short tandem repeats, specifically microsatellites, are widely used genetic markers, associated with human genetic diseases, and play an important role in various regulatory mecha...
Angelika Merkel, Neil Gemmell
ALMOB
2006
109views more  ALMOB 2006»
13 years 8 months ago
A novel functional module detection algorithm for protein-protein interaction networks
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
CIDM
2009
IEEE
14 years 1 months ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...
DIS
2009
Springer
14 years 3 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
WCRE
2008
IEEE
14 years 3 months ago
Retrieving Task-Related Clusters from Change History
During software maintenance tasks, developers often spend an important amount of effort investigating source code. This effort can be reduced if tools are available to help develo...
Martin P. Robillard, Barthélémy Dage...