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    NDSS
    2006
    IEEE
    163views Computer Networks» more  NDSS 2006»
    Toward a Practical Data Privacy Scheme for a Distributed Implementation of the Smith-Waterman Genome Sequence Comparison Algorit
    15 years 3 months ago
    Toward a Practical Data Privacy Scheme for a Distributed Implementation of the Smith-Waterman Genome Sequence Comparison Algorit
    Download  facultystaff.richmond.edu
    Volunteer distributed computations utilize spare processor cycles of personal computers that are connected to the Internet. The resulting platforms provide computational power pre...
    Doug Szajda, Michael Pohl, Jason Owen, Barry G. La...
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    BMCBI
    2010
    122views more  BMCBI 2010»
    Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PF
    14 years 4 months ago
    Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PF
    Download  www.biomedcentral.com
    Background: A new paradigm of biological investigation takes advantage of technologies that produce large high throughput datasets, including genome sequences, interactions of pro...
    Troy Hawkins, Meghana Chitale, Daisuke Kihara
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    ICECCS
    2005
    IEEE
    87views Hardware» more  ICECCS 2005»
    Scavenging Complex Genomic Information Using Mobile Code: An Evaluation
    15 years 3 months ago
    Scavenging Complex Genomic Information Using Mobile Code: An Evaluation
    Download  www.dit.unitn.it
    Mobile code solutions can improve the performances of applications over the Internet by reducing the amount of data that must be transferred across the network. The research on ge...
    Mauro Pezzè, Davide Tosi, Gian Pietro Picco
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    BMCBI
    2005
    161views more  BMCBI 2005»
    Non-linear mapping for exploratory data analysis in functional genomics
    14 years 9 months ago
    Non-linear mapping for exploratory data analysis in functional genomics
    Download  www.biomedcentral.com
    Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
    Francisco Azuaje, Haiying Wang, Alban Chesneau
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    BMCBI
    2008
    160views more  BMCBI 2008»
    Feature selection environment for genomic applications
    14 years 9 months ago
    Feature selection environment for genomic applications
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    Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
    Fabrício Martins Lopes, David Correa Martin...
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