DNA sequences recognition Project

Introduction:

This project explores the applications of Artificial Intelligence (AI) techniques for classifying Deoxyribonucleic Acid (DNA) sequences into their corresponding gene families. The paper focuses on presenting how DNA sequences can be treated as the human language to be understood and classified. Specifically, we first transformed the DNA sequences into a more human-like format. Then, we employed Natural Language Processing (NLP) and Multi-layer Perceptron (MLP) algorithms to complete sequence classification into 7 gene families. Our research drew DNA sequence data from three organisms, including humans, dogs, and chimpanzees. Finally, various experiments were conducted to prove the classification performance. Additionally, to validate the generalization of this solution, we designed experiments that involved cross-domain testing. These experimental results demonstrate not only high accuracy and efficiency but also intriguing findings in life sciences.