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    BMCBI
    2006
    119views more  BMCBI 2006»
    Hidden Markov Model Variants and their Application
    13 years 7 months ago
    Hidden Markov Model Variants and their Application
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    Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
    Stephen Winters-Hilt
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    BMCBI
    2006
    156views more  BMCBI 2006»
    Bayesian models for pooling microarray studies with multiple sources of replications
    13 years 7 months ago
    Bayesian models for pooling microarray studies with multiple sources of replications
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    Background: Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides with...
    Erin M. Conlon, Joon J. Song, Jun S. Liu
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    BIOINFORMATICS
    2012
    255views Distributed And Parallel Com...» more  BIOINFORMATICS 2012»
    Epigenetic priors for identifying active transcription factor binding sites
    11 years 10 months ago
    Epigenetic priors for identifying active transcription factor binding sites
    Download  www.ohio.edu
    Motivation Accurate knowledge of the genome-wide binding of transcription factors in a particular cell type or under a particular condition is necessary for understanding transcri...
    Gabriel Cuellar-Partida, Fabian A. Buske, Robert C...
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    BMCBI
    2010
    140views more  BMCBI 2010»
    An improved machine learning protocol for the identification of correct Sequest search results
    13 years 5 months ago
    An improved machine learning protocol for the identification of correct Sequest search results
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    Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
    Morten Kallberg, Hui Lu
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    BMCBI
    2007
    138views more  BMCBI 2007»
    A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
    13 years 7 months ago
    A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
    Download  www.biomedcentral.com
    Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
    Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
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