A two-step feature selection approach for identifying SNPs associated with colorectal cancer
Abstract
Colorectal Cancer (CRC) continues to be a significant cause of cancer-related illness and deaths worldwide. Single Nucleotide Polymorphism (SNP) identification and analysis can serve as a potential biomarker for early detection and personalized treatment. This study contributes to this ongoing discourse by employing bioinformatics methods, focusing on feature selection for SNP analysis related to CRC. Utilizing metaheuristic algorithms, particularly the Genetic Algorithm (GA), we implement a two-step feature selection method using Spatially Uniform ReliefF (SURF) and GA to identify key SNPs correlated with CRC, utilizing a dataset obtained from a prior study. Our comprehensive experiment successfully identifies previously established genes associated with CRC, while also revealing novel SNPs that warrant further investigation for validation.
- Published
- 8 April 2024
- Volume
- 2024 (2024)
- License
- CC BY 3.0
Copyright © 2024 Jason Sebastian Sulistyawan, Kelvin Julian, Gregorius Natanael Elwirehardja, Kuncahyo Setyo Nugroho, Bens Pardamean. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
J. S. Sulistyawan, K. Julian, G. N. Elwirehardja, K. S. Nugroho, B. Pardamean, A two-step feature selection approach for identifying SNPs associated with colorectal cancer, Commun. Math. Biol. Neurosci. 2024 (2024), 47. https://doi.org/10.28919/cmbn/8468
BibTeX
@article{Sulistyawan2024,
author = {Sulistyawan, Jason Sebastian and Julian, Kelvin and Elwirehardja, Gregorius Natanael and Nugroho, Kuncahyo Setyo and Pardamean, Bens},
title = {A two-step feature selection approach for identifying SNPs associated with colorectal cancer},
journal = {Commun. Math. Biol. Neurosci.},
volume = {2024},
year = {2024},
pages = {47},
doi = {10.28919/cmbn/8468}
}