In that case, experimenting with some promoter datasets sounds like a great hackathon project! On Mar 20, 2014 7:21 AM, "Ged Yebron" <[email protected]> wrote:
> Promoters are regions of the DNA sequence that signal the start of a gene > during the process of > transcription, a rst process involved in protein synthesis. The problem of > promoter identi cation is > of major importance within bioinformatics, for two main reasons. First, > identifying promoters is a > signi cant step in the process of detecting genes. Second, promoters are > essential in the regulation > of the expression of genes. As the conditions for a DNA sequence to > function as a promoter are not > known, machine learning methods are suitable to approach this problem > because they can learn useful > descriptions of concepts when given only instances - DNA sequences that > are assumed to contain > underlying but unknown patterns of base pairs (Bocicor, 2013). > > Some neural network algorithms were tried but failed. I wonder if CLA can > predict better. > > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > >
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