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    BMCBI
    2006
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    Comparative analysis of haplotype association mapping algorithms
    15 years 24 days ago
    Comparative analysis of haplotype association mapping algorithms
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    Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross b...
    Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire...
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    BMCBI
    2006
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    Low degree metabolites explain essential reactions and enhance modularity in biological networks
    15 years 24 days ago
    Low degree metabolites explain essential reactions and enhance modularity in biological networks
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    Background: Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes an...
    Areejit Samal, Shalini Singh, Varun Giri, Sandeep ...
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    BMCBI
    2006
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    Gene selection algorithms for microarray data based on least squares support vector machine
    15 years 24 days ago
    Gene selection algorithms for microarray data based on least squares support vector machine
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    Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
    E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
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    BMCBI
    2006
    110views more  BMCBI 2006»
    Bias in error estimation when using cross-validation for model selection
    15 years 24 days ago
    Bias in error estimation when using cross-validation for model selection
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    Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
    Sudhir Varma, Richard Simon
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    BMCBI
    2006
    136views more  BMCBI 2006»
    Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
    15 years 24 days ago
    Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
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    Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
    Raja Loganantharaj, Satish Cheepala, John Clifford
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