Optimizing classification efficiency with machine learning techniques for pattern matching

Optimizing classification efficiency with machine learning techniques for pattern matching

Abstract The study proposes a novel model for DNA sequence classification that combines machine learning methods and a pattern-matching algorithm. This model aims to effectively categorize DNA sequences based on their features and enhance the accuracy and efficiency of DNA sequence classification. T...

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Bibliographic Details
Main Authors: Belal A. Hamed, Osman Ali Sadek Ibrahim, Tarek Abd El-Hafeez
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Journal of Big Data
Subjects:
Bioinformatics
Feature extraction
Pattern matching
Machine learning
DNA sequences
Online Access:https://doi.org/10.1186/s40537-023-00804-6

Internet

https://doi.org/10.1186/s40537-023-00804-6

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