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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    Titel :

    Machine learning Algorithms applied to Genetic Promoter Sequences Recognition


    Beteiligte:


    Erscheinungsdatum :

    2020-11-01


    Format / Umfang :

    246566 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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