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    ASPDAC
    2011
    ACM
    167views Hardware» more  ASPDAC 2011»
    Variation-tolerant and self-repair design methodology for low temperature polycrystalline silicon liquid crystal and organic lig
    12 years 11 months ago
    Variation-tolerant and self-repair design methodology for low temperature polycrystalline silicon liquid crystal and organic lig
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    - In low temperature polycrystalline silicon (LTPS) based display technologies, the electrical parameter variations in thin film transistors (TFTs) caused by random grain boundarie...
    Chih-Hsiang Ho, Chao Lu, Debabrata Mohapatra, Kaus...
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    BMCBI
    2011
    180views Artificial Intelligence» more  BMCBI 2011»
    Detection of recurrent rearrangement breakpoints from copy number data
    12 years 11 months ago
    Detection of recurrent rearrangement breakpoints from copy number data
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    Background: Copy number variants (CNVs), including deletions, amplifications, and other rearrangements, are common in human and cancer genomes. Copy number data from array compara...
    Anna M. Ritz, Pamela L. Paris, Michael Ittmann, Co...
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    BMCBI
    2011
    222views Artificial Intelligence» more  BMCBI 2011»
    Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Datase
    12 years 11 months ago
    Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Datase
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    Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
    Chris Bauer, Frank Kleinjung, Celia J. Smith, Mark...
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    BMCBI
    2011
    227views Artificial Intelligence» more  BMCBI 2011»
    To aggregate or not to aggregate high-dimensional classifiers
    12 years 11 months ago
    To aggregate or not to aggregate high-dimensional classifiers
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    Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
    Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
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    BMCBI
    2011
    255views Artificial Intelligence» more  BMCBI 2011»
    A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
    12 years 11 months ago
    A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
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    Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
    Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...
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