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    BMCBI
    2006
    128views more  BMCBI 2006»
    Rank-statistics based enrichment-site prediction algorithm developed for chromatin immunoprecipitation on chip experiments
    14 years 9 months ago
    Rank-statistics based enrichment-site prediction algorithm developed for chromatin immunoprecipitation on chip experiments
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    Background: High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method emp...
    Srinka Ghosh, Heather A. Hirsch, Edward A. Sekinge...
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    BMCBI
    2006
    169views more  BMCBI 2006»
    Assessing protein similarity with Gene Ontology and its use in subnuclear localization prediction
    14 years 9 months ago
    Assessing protein similarity with Gene Ontology and its use in subnuclear localization prediction
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    Background: The accomplishment of the various genome sequencing projects resulted in accumulation of massive amount of gene sequence information. This calls for a large-scale comp...
    Zhengdeng Lei, Yang Dai
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    BMCBI
    2007
    163views more  BMCBI 2007»
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
    14 years 9 months ago
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
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    Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
    Carmen Pin, Mark Reuter
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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
    14 years 9 months ago
    A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
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    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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    FGCS
    2006
    144views more  FGCS 2006»
    BioSimGrid: Grid-enabled biomolecular simulation data storage and analysis
    14 years 9 months ago
    BioSimGrid: Grid-enabled biomolecular simulation data storage and analysis
    Download  eprints.soton.ac.uk
    In computational biomolecular research, large amounts of simulation data are generated to capture the motion of proteins. These massive simulation data can be analysed in a number...
    Muan Hong Ng, Steven Johnston, Bing Wu, Stuart E. ...
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