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BMCBI
2010
148views more  BMCBI 2010»
14 years 10 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
BMCBI
2007
116views more  BMCBI 2007»
14 years 10 months ago
Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Francisco R. Pinto, João A. Carriço,...
BMCBI
2008
138views more  BMCBI 2008»
14 years 10 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
RECOMB
2004
Springer
15 years 10 months ago
The Statistical Significance of Max-Gap Clusters
Identifying gene clusters, genomic regions that share local similarities in gene organization, is a prerequisite for many different types of genomic analyses, including operon pred...
Rose Hoberman, David Sankoff, Dannie Durand
ICNP
2003
IEEE
15 years 3 months ago
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
Abstract—In the paper, we devise and evaluate a fully decentralized, light-weight, dynamic clustering algorithm for target tracking. Instead of assuming the same role for all the...
Wei-Peng Chen, Jennifer C. Hou, Lui Sha