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    ML
    2008
    ACM
    150views Machine Learning» more  ML 2008»
    Learning probabilistic logic models from probabilistic examples
    13 years 7 months ago
    Learning probabilistic logic models from probabilistic examples
    Download  ftp.cs.wisc.edu
    Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
    Jianzhong Chen, Stephen Muggleton, José Car...
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    JCB
    2008
    94views more  JCB 2008»
    Prioritize and Select SNPs for Association Studies with Multi-Stage Designs
    13 years 7 months ago
    Prioritize and Select SNPs for Association Studies with Multi-Stage Designs
    Download  vorlon.case.edu
    Large-scale whole genome association studies are increasingly common, due in large part to recent advances in genotyping technology. With this change in paradigm for genetic studi...
    Jing Li
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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semantic integration to identify overlapping functional modules in protein interaction networks
    13 years 7 months ago
    Semantic integration to identify overlapping functional modules in protein interaction networks
    Download  www.biomedcentral.com
    Background: The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be ...
    Young-Rae Cho, Woochang Hwang, Murali Ramanathan, ...
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    BMCBI
    2007
    115views more  BMCBI 2007»
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    13 years 7 months ago
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
    Stephen Winters-Hilt, Carl Baribault
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    BMCBI
    2006
    134views more  BMCBI 2006»
    Application of machine learning in SNP discovery
    13 years 7 months ago
    Application of machine learning in SNP discovery
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    Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
    Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
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