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    BMCBI
    2007
    182views more  BMCBI 2007»
    Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data
    13 years 8 months ago
    Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data
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    Background: ChIP-chip data, which indicate binding of transcription factors (TFs) to DNA regions in vivo, are widely used to reconstruct transcriptional regulatory networks. Howev...
    Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
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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 8 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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    BMCBI
    2010
    122views more  BMCBI 2010»
    Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PF
    13 years 3 months ago
    Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PF
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    Background: A new paradigm of biological investigation takes advantage of technologies that produce large high throughput datasets, including genome sequences, interactions of pro...
    Troy Hawkins, Meghana Chitale, Daisuke Kihara
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    CSB
    2002
    IEEE
    230views Bioinformatics» more  CSB 2002»
    Prediction of Protein Function Using Protein-Protein Interaction Data
    14 years 1 months ago
    Prediction of Protein Function Using Protein-Protein Interaction Data
    Download  www.cmb.usc.edu
    Assigning functions to novel proteins is one of the most important problems in the post-genomic era. Several approaches have been applied to this problem, including analyzing gene...
    Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, ...
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    RECOMB
    2002
    Springer
    104views Computational Biology» more  RECOMB 2002»
    A bayesian approach to transcript estimation from gene array data: the BEAM technique
    14 years 9 months ago
    A bayesian approach to transcript estimation from gene array data: the BEAM technique
    Download  cbcl.mit.edu
    We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
    Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...
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