Paper Details

Name: Aditya, Deepak Yadav & Aashima Narula
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 91-96
DOI: https://doi.org/10.5281/zenodo.18951672

ABSTRACT
Genetic mutation detection is important for detecting genomic variation to cause disease. Such mutations as single nucleotide changes, insertions, and deletions can be found by a computational approach. This new method correctly identifies genetic variations by analyzing genetic data and comparing it to reference genomes. It thus shows high accuracy results that would allow research in understanding the mechanisms of the disease as well as genetic disorders. This research will help me improve mutation detection techniques, which have applications in the fields of medical
science and genetics.

Keyword: Genetic Mutation Detection, Machine Learning, Random Forest, Mutation Classification, Feature Importance