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    » SNPchip: R classes and methods for SNP array data
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    BIOINFORMATICS
    2007
    47views more  BIOINFORMATICS 2007»
    SNPchip: R classes and methods for SNP array data
    13 years 11 months ago
    SNPchip: R classes and methods for SNP array data
    Download  www.biostat.jhsph.edu
    Robert B. Scharpf, Jason C. Ting, Jonathan Pevsner...
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    BMCBI
    2011
    197views Artificial Intelligence» more  BMCBI 2011»
    A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
    13 years 2 months ago
    A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
    Download  www.biomedcentral.com
    Background: Mosaicism for copy number and copy neutral chromosomal rearrangements has been recently identified as a relatively common source of genetic variation in the normal pop...
    Juan R. González, Benjamin Rodriguez-Santia...
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    BMCBI
    2011
    226views Artificial Intelligence» more  BMCBI 2011»
    SAQC: SNP array quality control
    13 years 5 months ago
    SAQC: SNP array quality control
    Download  www.biomedcentral.com
    Background: Genome-wide single-nucleotide polymorphism (SNP) arrays containing hundreds of thousands of SNPs from the human genome have proven useful for studying important human ...
    Hsin-Chou Yang, Hsin-Chi Lin, Meijyh Kang, Chun-Ho...
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    BMCBI
    2008
    131views more  BMCBI 2008»
    Major copy proportion analysis of tumor samples using SNP arrays
    13 years 11 months ago
    Major copy proportion analysis of tumor samples using SNP arrays
    Download  www.biomedcentral.com
    Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays ha...
    Cheng Li, Rameen Beroukhim, Barbara A. Weir, Wendy...
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    BMCBI
    2008
    171views more  BMCBI 2008»
    A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
    13 years 11 months ago
    A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
    Download  www.biomedcentral.com
    Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
    Harri T. Kiiveri
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