A novel approach presents to recognize promoter sequences using supervised learning algorithms. For the proposed approach was possible to recognize correctly more than 95% of the tested cases, the cases were previously labeled as promoter and non-promoter sequences, from a genomic database.


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    Title :

    Machine learning Algorithms applied to Genetic Promoter Sequences Recognition


    Contributors:


    Publication date :

    2020-11-01


    Size :

    246566 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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