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IN-AIS-MACA: Integrated Artificial Immune System based Multiple Attractor Cellular Automata For Human Protein Coding and Promoter Prediction of 252bp Length DNA Sequence
Pokkuluri Kiran Sree, Inampudi Ramesh Babu, SSSN Usha Devi N
Volume 14 Issue 2
Global Journal of Computer Science and Technology
Volume 14 Issue 2
Global Journal of Computer Science and Technology
Gene prediction involves protein coding and promoter predictions. There is a need of integrated algorithms which can predict both these regions at a faster rate. Till date, we have individual algorithms for addressing these problems. We have developed a novel classifier IN-AIS-MACA, which can predict both these regions in genomic DNA sequences of length 252bp with 93.5% accuracy and total prediction time of 1031ms. This classifier will certainly create intuition to develop more classifiers like this.
