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» Identifying Clusters from Positive Data
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98
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BMCBI
2005
253views more  BMCBI 2005»
15 years 9 days ago
The Use of Edge-Betweenness Clustering to Investigate Biological Function in Protein Interaction Networks
Background: This paper describes an automated method for finding clusters of interconnected proteins in protein interaction networks and retrieving protein annotations associated ...
Ruth Dunn, Frank Dudbridge, Christopher M. Sanders...
126
Voted
SP
2008
IEEE
134views Security Privacy» more  SP 2008»
15 years 10 days ago
Discover gene specific local co-regulations from time-course gene expression data
Discovering gene co-regulatory relationships is one of most important research in DNA microarray data analysis. The problem of gene specific co-regulation discovery is to, for a p...
Ji Zhang, Qigang Gao, Hai H. Wang
95
Voted
ICDCS
2009
IEEE
15 years 9 months ago
CLIQUE: Role-Free Clustering with Q-Learning for Wireless Sensor Networks
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
Anna Förster, Amy L. Murphy
FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
15 years 1 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
107
Voted
ENGL
2007
180views more  ENGL 2007»
15 years 11 days ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar