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    BMCBI
    2008
    116views more  BMCBI 2008»
    The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
    13 years 5 months ago
    The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
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    Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
    Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
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    BIOINFORMATICS
    2006
    124views more  BIOINFORMATICS 2006»
    Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
    13 years 5 months ago
    Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
    Download  eprints.pascal-network.org
    Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
    Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
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    BMCBI
    2010
    179views more  BMCBI 2010»
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    13 years 5 months ago
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
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    Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
    Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
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    FUZZIEEE
    2007
    IEEE
    151views Fuzzy Logic» more  FUZZIEEE 2007»
    Mining and Predicting CpG islands
    13 years 11 months ago
    Mining and Predicting CpG islands
    Download  sci2s.ugr.es
    — A DNA sequence can be described as a string composed of four symbols: A, T, C and G. Each symbol represents a chemically distinct nucleotide molecule. Combinations of two nucle...
    Christopher Previti, Oscar Harari, Coral del Val
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    BMCBI
    2008
    123views more  BMCBI 2008»
    Statistical methodology for the analysis of dye-switch microarray experiments
    13 years 5 months ago
    Statistical methodology for the analysis of dye-switch microarray experiments
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    Background: In individually dye-balanced microarray designs, each biological sample is hybridized on two different slides, once with Cy3 and once with Cy5. While this strategy ens...
    Tristan Mary-Huard, Julie Aubert, Nadera Mansouri-...
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