ヒューリスティクスを併用したGPによるエクソン・イントロン境界の高精度判別

概要

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ABSTRACT Genetic Programming (GP) is one of a method to identify exon-intron boundaries in gene sequences. In conventional method, bases are represented by 2- or 4-bits length binary codes and these bits are inde-pendently used as inputs to the identification model. Here we develop a method to generate exon-intron boundaries identify model by GP with the heuristics obtained by statistical characteristics. And our method can directly accept not the bit-encoded data, but the character data of bases. The heuristic is defined as the differences of appearance frequencies for bases around the "GT" and "AT", and they are abstracted from 8,000,000 base sequence data. We combined GP with heuristics to Generate identifica-tion model for Exon-Intron boundaries.
宮崎大学の論文
2006-08-30