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    ISBI
    2011
    IEEE
    431views Medical Imaging» more  ISBI 2011»
    Hierarchical clustering of the genetic connectivity matrix reveals the network topology of gene action on brain microstructure:
    13 years 1 months ago
    Hierarchical clustering of the genetic connectivity matrix reveals the network topology of gene action on brain microstructure:
    Download  www.loni.ucla.edu
    Genetic correlation (rg) analysis determines how much of the correlation between two measures is due to common genetic influences. In an analysis of 4 Tesla diffusion tensor image...
    Ming-Chang Chiang, Marina Barysheva, Katie McMahon...
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    WINET
    2008
    200views more  WINET 2008»
    Performance evaluation of an IEEE 802.15.4 sensor network with a star topology
    13 years 10 months ago
    Performance evaluation of an IEEE 802.15.4 sensor network with a star topology
    Download  ece.iisc.ernet.in
    One class of applications envisaged for the IEEE 802.15.4 LR-WPAN (low data rate - wireless personal area network) standard is wireless sensor networks for monitoring and control a...
    Chandramani Kishore Singh, Anurag Kumar, P. M. Ame...
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    INFOCOM
    2006
    IEEE
    143views Communications» more  INFOCOM 2006»
    Backbone Topology Synthesis for Multi-Radio Meshed Wireless LANs
    14 years 4 months ago
    Backbone Topology Synthesis for Multi-Radio Meshed Wireless LANs
    Download  www.ee.ucla.edu
    —Wireless local area network (WLAN) systems are widely implemented today to provide hot spot coverage. Operated typically in an infrastructure mode, each WLAN is managed by an ac...
    Laura Huei-jiun Ju, Izhak Rubin
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    ICSNW
    2004
    Springer
    188views Database» more  ICSNW 2004»
    Peer Selection in Peer-to-Peer Networks with Semantic Topologies
    14 years 3 months ago
    Peer Selection in Peer-to-Peer Networks with Semantic Topologies
    Download  bibster.semanticweb.org
    Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining the destin...
    Peter Haase, Ronny Siebes, Frank van Harmelen
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    BMCBI
    2010
    179views more  BMCBI 2010»
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    13 years 10 months ago
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    Download  www.biomedcentral.com
    Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
    Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
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