Recognizing TATA Promoters Based on Discriminating Frequency Analysis of Neighborhood Tuples
نویسندگان
چکیده
Using plant database we investigate the distribution of different tuples of small length for TATA and TATA-less promoters. Results show that in the neighborhood of TATA patterns some of the tuples demonstrate discriminating distribution for TATA and TATA-less promoters. Based on this observation we perform probabilistic learning to recognize TATA promoters and are able to reduce the false positives significantly keeping the true positives comparable to existing approaches.
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