Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)

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Cancer Detection and Prediction Using lncRNA

Authors
B. N. Swetha1, *, B. J. Sowmya1, Chetan Shetty2, Anusha H. Dandoti1, Jenas Anton Vimal1, Vedant R. Warrier1, N. V. S. Hemanth Kumar1
1Dept. of Artificial Intelligence and Data Science, Ramaiah Institute of Technology, Bengaluru, Karnataka, India
2Dept. of Artificial Intelligence and Machine Learning, Ramaiah Institute of Technology, Bengaluru, Karnataka, India
*Corresponding author. Email: swethabn@msrit.edu
Corresponding Author
B. N. Swetha
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-978-0_7How to use a DOI?
Abstract

Cancer prediction and classification are vital for early detection and personalized treatment. This study employs computational genomics and machine learning, integrating Random Forest and Gradient Boosting into an optimized ensemble model using lncRNA data. The model achieved an AUC of 0.84 in ten-fold cross-validation, identifying 439 potential cancer-related lncRNAs. Feature importance analysis highlighted epigenetic and network-related features as key contributors to predictive accuracy. Integrating diverse genomic features enhances cancer prediction by capturing complex biological relationships. This approach has potential clinical applications in early diagnosis and treatment planning. The study also provides a framework for further computational oncology research. It advances personalized medicine by identifying novel cancer-related lncRNAs for future therapeutic development. The findings emphasize the value of machine learning in biomedical research. Overall, this work contributes to improving cancer classification and treatment strategies.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-978-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-978-0_7How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - B. N. Swetha
AU  - B. J. Sowmya
AU  - Chetan Shetty
AU  - Anusha H. Dandoti
AU  - Jenas Anton Vimal
AU  - Vedant R. Warrier
AU  - N. V. S. Hemanth Kumar
PY  - 2025
DA  - 2025/12/31
TI  - Cancer Detection and Prediction Using lncRNA
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 60
EP  - 69
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_7
DO  - 10.2991/978-94-6463-978-0_7
ID  - Swetha2025
ER  -