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    BMCBI
    2007
    88views more  BMCBI 2007»
    Use of DNA melting simulation software for in silico diagnostic assay design: targeting regions with complex melting curves and
    13 years 7 months ago
    Use of DNA melting simulation software for in silico diagnostic assay design: targeting regions with complex melting curves and
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    Background: DNA melting curve analysis using double-stranded DNA-specific dyes such as SYTO9 produce complex and reproducible melting profiles, resulting in the detection of multi...
    John P. Rasmussen, Christopher P. Saint, Paul T. M...
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    BMCBI
    2008
    220views more  BMCBI 2008»
    Gene prediction in metagenomic fragments: A large scale machine learning approach
    13 years 7 months ago
    Gene prediction in metagenomic fragments: A large scale machine learning approach
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    Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
    Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
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    BIOINFORMATICS
    2006
    92views more  BIOINFORMATICS 2006»
    What should be expected from feature selection in small-sample settings
    13 years 7 months ago
    What should be expected from feature selection in small-sample settings
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    Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
    Chao Sima, Edward R. Dougherty
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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 7 months ago
    Kernel-based distance metric learning for microarray data classification
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    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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    BMCBI
    2007
    179views more  BMCBI 2007»
    Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
    13 years 7 months ago
    Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
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    Background: The wide use of Affymetrix microarray in broadened fields of biological research has made the probeset annotation an important issue. Standard Affymetrix probeset anno...
    Hui Yu, Feng Wang, Kang Tu, Lu Xie, Yuan-Yuan Li, ...
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