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    CCS
    2010
    ACM
    228views Security Privacy» more  CCS 2010»
    Modeling attacks on physical unclonable functions
    13 years 9 months ago
    Modeling attacks on physical unclonable functions
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    We show in this paper how several proposed Physical Unclonable Functions (PUFs) can be broken by numerical modeling attacks. Given a set of challenge-response pairs (CRPs) of a PU...
    Ulrich Rührmair, Frank Sehnke, Jan Sölte...
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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 9 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    Download  www.biomedcentral.com
    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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    BMCBI
    2008
    228views more  BMCBI 2008»
    Adaptive diffusion kernel learning from biological networks for protein function prediction
    13 years 9 months ago
    Adaptive diffusion kernel learning from biological networks for protein function prediction
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    Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
    Liang Sun, Shuiwang Ji, Jieping Ye
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    BMCBI
    2008
    214views more  BMCBI 2008»
    Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
    13 years 9 months ago
    Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
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    Background: This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomic...
    Yoginder S. Dandass, Shane C. Burgess, Mark Lawren...
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    BMCBI
    2010
    135views more  BMCBI 2010»
    Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data
    13 years 9 months ago
    Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data
    Download  www.biomedcentral.com
    Background: Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) is a proteomics tool for biomarker discovery and other high throughput applicatio...
    Vincent A. Emanuele II, Brian M. Gurbaxani
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