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    BMCBI
    2008
    105views more  BMCBI 2008»
    Using the longest significance run to estimate region-specific p-values in genetic association mapping studies
    13 years 8 months ago
    Using the longest significance run to estimate region-specific p-values in genetic association mapping studies
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    Background: Association testing is a powerful tool for identifying disease susceptibility genes underlying complex diseases. Technological advances have yielded a dramatic increas...
    Ie-Bin Lian, Yi-Hsien Lin, Ying-Chao Lin, Hsin-Cho...
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    BMCBI
    2008
    117views more  BMCBI 2008»
    Using a logical model to predict the growth of yeast
    13 years 8 months ago
    Using a logical model to predict the growth of yeast
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    Background: A logical model of the known metabolic processes in S. cerevisiae was constructed from iFF708, an existing Flux Balance Analysis (FBA) model, and augmented with inform...
    Ken E. Whelan, Ross D. King
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    BMCBI
    2006
    165views more  BMCBI 2006»
    A stable gene selection in microarray data analysis
    13 years 8 months ago
    A stable gene selection in microarray data analysis
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    Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
    Kun Yang, Zhipeng Cai, Jianzhong Li, Guohui Lin
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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
    13 years 8 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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    SIGIR
    2008
    ACM
    192views Information Technology» more  SIGIR 2008»
    A user browsing model to predict search engine click data from past observations
    13 years 8 months ago
    A user browsing model to predict search engine click data from past observations
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    Search engine click logs provide an invaluable source of relevance information but this information is biased because we ignore which documents from the result list the users have...
    Georges Dupret, Benjamin Piwowarski
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