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<p>The Dragon Promoter Finder is an advanced system for promoter recognition in vertebrates. It uses a collection of models based on multisensor integration, signal processing, and artificial neural networks. The system uses newly developed sensors based on the statistical concept of oligonucleotide positional distributions in specific functional regions of DNA. These distributions are modeled as a set of position weight matrices of the most significant oligonucleotides. The authors calibrated the system to minimize the number of false-positive predictions for various prespecified sensitivity levels. When evaluated on a large and diverse human sequence set, it exhibited several times higher accuracy than several other publicly available general promoter recognition systems.</p>
DNA analysis, promoter recognition, gene finding, multisensor integration, artificial neural networks, composite models.

V. B. Bajic, A. Chong, S. H. Seah and V. Brusic, "An Intelligent System for Vertebrate Promoter Recognition," in IEEE Intelligent Systems, vol. 17, no. , pp. 64-70, 2002.
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