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        Combining experts in order to identify binding sites in genomic data

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        903605.pdf (PDF, 225Kb)
        Author
        Rezwan, F.
        Sun, Yi.
        Robinson, M.
        Adams, R.G.
        Rust, A.G.
        Davey, N.
        Attention
        2299/3966
        Abstract
        The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to know both the identity of the regulatory transcription factors together with the location of their binding sites in the genome. We show that using an SVM together with data sampling to classify the combination of the results of individual algorithms specialised for the prediction of binding site locations, can produce significant improvements upon the original algorithms. The resulting classifier produces fewer false positive predictions and so reduces the expensive experimental procedure of verifying the predictions.
        Publication date
        2008
        Published in
        Proceedings of the
        Other links
        http://hdl.handle.net/2299/3966
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