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    CATA
    2009
    186views Computer Science» more  CATA 2009»
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
    13 years 8 months ago
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
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    The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
    Myungsook Klassen, Nyunsu Kim
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    BMCBI
    2005
    118views more  BMCBI 2005»
    Feature selection and nearest centroid classification for protein mass spectrometry
    13 years 7 months ago
    Feature selection and nearest centroid classification for protein mass spectrometry
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    Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
    Ilya Levner
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    BMCBI
    2006
    153views more  BMCBI 2006»
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
    13 years 7 months ago
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
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    Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
    Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
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    BMCBI
    2006
    110views more  BMCBI 2006»
    Bias in error estimation when using cross-validation for model selection
    13 years 7 months 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
    2007
    77views more  BMCBI 2007»
    Effective selection of informative SNPs and classification on the HapMap genotype data
    13 years 7 months ago
    Effective selection of informative SNPs and classification on the HapMap genotype data
    Download  www.biomedcentral.com
    Background: Since the single nucleotide polymorphisms (SNPs) are genetic variations which determine the difference between any two unrelated individuals, the SNPs can be used to i...
    Nina Zhou, Lipo Wang
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