Proceedings of the 5th International Conference on Applied Sciences, Mathematics, and Informatics (ICASMI 2024)

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Essential Genes Classification of DNA Drosophila Melanogaster using CatBoost

Authors
Rika Ningtias Azhari1, Favorisen Rosyking Lumbanraja1, *, Akmal Junaidi1, Aristoteles1, Ahmad Faisol1, Sri Karnila1
1Faculty of Mathematics and Natural Science, Department of Computer Science, University of Lampung, Bandar Lampung, Indonesia
*Corresponding author. Email: favorisen.lumbanraja@fmipa.unila.ac.id
Corresponding Author
Favorisen Rosyking Lumbanraja
Available Online 27 May 2025.
DOI
10.2991/978-94-6463-730-4_11How to use a DOI?
Keywords
Classification; Essential Gene; DNA; Drosophila Melanogaster; CatBoost
Abstract

DNA is the molecule responsible for storing genetic information in living organisms. In DNA there are essential genes that function to store data related to natural components. In this study, we used Drosophila melanogaster as the object of research. DNA contains essential genes that are responsible for critical biological functions. Drosophila melanogaster is also widely used because it has relatively simple genetics but is still quite complex in providing insight into human biology. This research discusses the classification of essential genes in Drosophila melanogaster DNA using the CatBoost method. There are 2 datasets used, Cellular Essential Gene (CEG) and Organismal Essential Gene (OEG). CEG and OEG data will be experimented by comparing the accuracy on data with missing values removed and compared to data with missing values filled. The best results were achieved when missing values were replaced with 25% essential and 75% non-essential data, resulting in an accuracy of 95.4% for CEG and 82.1% for OEG.

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 5th International Conference on Applied Sciences, Mathematics, and Informatics (ICASMI 2024)
Series
Advances in Physics Research
Publication Date
27 May 2025
ISBN
978-94-6463-730-4
ISSN
2352-541X
DOI
10.2991/978-94-6463-730-4_11How 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  - Rika Ningtias Azhari
AU  - Favorisen Rosyking Lumbanraja
AU  - Akmal Junaidi
AU  - Aristoteles
AU  - Ahmad Faisol
AU  - Sri Karnila
PY  - 2025
DA  - 2025/05/27
TI  - Essential Genes Classification of DNA Drosophila Melanogaster using CatBoost
BT  - Proceedings of the 5th International Conference on Applied Sciences, Mathematics, and Informatics (ICASMI 2024)
PB  - Atlantis Press
SP  - 118
EP  - 126
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-730-4_11
DO  - 10.2991/978-94-6463-730-4_11
ID  - Azhari2025
ER  -