A Constructive approach to Numerical Mapping scheme of Nucleotides for Preprocessing in Machine Learning

Abstract

One of the major issues in the Bioinformatics discipline is to construct a method by which the precise protein-coding region can be identified in the intended nucleotide series. The exact spotting of protein coding regions in a nucleotide is valuable in numerous entities. For an instance, it aids in describing unique proteins, develop drugs, and furthermore in uncovering the developmental foundation of a specific living being. Digital Signal Processing (DSP) rooted technique is quite popular for identifying protein coding regions. The main fundamental stage of the DSP oriented prediction of exon, is to direct the nucleotide base to the numeric values. Choosing a numerical mapping configuration influences the characteristics of the DNA sequence, helping them to pinpoint the precise area of the exon. Over the most recent twenty years, a number of methods to map the nucleotides have been effectively utilized as a preprocessing stage for exon prediction. The proposed method of mapping a sequence outerforms other schemes in predicting the region of exons.