Prediction of Promotors in Agrobacterium and Klebsiella Using Novel Feature Engineering and Ensemble Learning Approach

Prediction of Promotors in Agrobacterium and Klebsiella Using Novel Feature Engineering and Ensemble Learning Approach

This paper presents an efficient machine learning-based model for the prediction of promoters in bacterial genomes, specifically targeting Agrobacterium tumefaciens, Klebsiella aerogenes, and Xanthomonas campestris. Agrobacterium tumefaciens is a well-known bacterium that induces plant tumors, such...

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Bibliographic Details
Main Authors: Nagwan Abdel Samee, Rawan Talaat, Ali Raza, Hadil Shaiba, Souham Meshoul
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Agrobacterium
Klebsiella
bacterial genomes
ensemble learning
machine learning
Online Access:https://ieeexplore.ieee.org/document/10897991/
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