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» E-CAST: A Data Mining Algorithm for Gene Expression Data
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JCST
2008
124views more  JCST 2008»
13 years 7 months ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei
KDD
2003
ACM
130views Data Mining» more  KDD 2003»
14 years 8 months ago
Towards systematic design of distance functions for data mining applications
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Charu C. Aggarwal
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 8 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
BMCBI
2010
125views more  BMCBI 2010»
13 years 8 months ago
In-silico prediction of blood-secretory human proteins using a ranking algorithm
Background: Computational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful inform...
Qi Liu, Juan Cui, Qiang Yang, Ying Xu
BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identifica
Background: Comparative analysis of gene expression profiling of multiple biological categories, such as different species of organisms or different kinds of tissue, promises to e...
Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao ...