UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRGX06192


Registration ID:
566657

Page Number

1025-1028

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Title

DNA Classification

Abstract

This project focuses on DNA classification using machine learning models by analyzing nucleotide sequences. Algorithms such as Support Vector Machine, Random Forest, and LSTM are used to classify DNA sequences into specific categories based on their features. The results improve the accuracy of identifying species, detecting diseases, and understanding genetic diversity. This approach supports biomedical research, personalized medicine, environmental studies, and forensic analysis.

Key Words

DNA Classification, Machine Learning, Genomics, Sequence Analysis, SVM, Random Forest

Cite This Article

"DNA Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.1025-1028, July-2025, Available :http://www.jetir.org/papers/JETIRGX06192.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DNA Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp1025-1028, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06192.pdf

Publication Details

Published Paper ID: JETIRGX06192
Registration ID: 566657
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: 1025-1028
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRGX06192
Published Paper PDF: https://www.jetir.org/papers/JETIRGX06192

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