Year: 2024
Type: article
Abstract: This research paper addresses the challenge of objectively evaluating diverse biological characteristics through the classification of DNA sequences. Identifying DNA sequences in genomics research can aid in discovering novel protein activities, such as insulin, which regulates blood sugar levels in the human body. Diabetes, a prevalent chronic illness, is linked to changes in the insulin gene sequence. The study aims to develop a machine-learning model to categorize the insulin gene's DNA sequence and identify type 2 diabetes based on this transformation. The model's performance will be compared to existing machine-learning models. Additionally, the research seeks to identify unique gene variants of the insulin protein associated with diabetes prognosis and investigate the risk factors associated with these gene variants.
Source: Mapana Journal of Sciences
DOI: 10.12723/mjs.sp3.7
Author: Aswathi Sasidharan
Institution: Christ University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4408478152