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.
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