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» On Clustering Using Random Walks
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BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
STOC
2001
ACM
104views Algorithms» more  STOC 2001»
14 years 7 months ago
Spatial gossip and resource location protocols
The dynamic behavior of a network in which information is changing continuously over time requires robust and efficient mechanisms for keeping nodes updated about new information. ...
David Kempe, Jon M. Kleinberg, Alan J. Demers
BMCBI
2007
163views more  BMCBI 2007»
13 years 7 months ago
Strainer: software for analysis of population variation in community genomic datasets
Background: Metagenomic analyses of microbial communities that are comprehensive enough to provide multiple samples of most loci in the genomes of the dominant organism types will...
John M. Eppley, Gene W. Tyson, Wayne M. Getz, Jill...
CORR
2010
Springer
170views Education» more  CORR 2010»
13 years 7 months ago
Sidelobe Control in Collaborative Beamforming via Node Selection
Collaborative beamforming (CB) is a power efficient method for data communications in wireless sensor networks (WSNs) which aims at increasing the transmission range in the network...
Mohammed F. A. Ahmed, Sergiy A. Vorobyov
BMCBI
2006
144views more  BMCBI 2006»
13 years 7 months ago
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken ...