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Authors: Jozef Sitarčík 1 ; Mária Lucká 2 and Tibor Krajčovič 1

Affiliations: 1 Faculty of Informatics and Information Technologies, Slovak University of Technology, Ilkovicova 2, Bratislava, Slovakia ; 2 KInIT - Kempelen Institute of Intelligent Technologies, Mlynske Nivy 5, 811 09 Bratislava, Slovakia

Keyword(s): Epistasis Detection, Flower Pollination Algorithm, Single Nucleotide Polymorphisms.

Abstract: Detecting associations of SNPs with traits like complex diseases can provide valuable insights. However, due to the epistases - complex interactions between SNPs - SNP combinations need to be evaluated for their association with a trait. As the number of possible SNP combinations grows rapidly with increase of the number of SNPs, great computational challenges have to be tackled. In this paper, we propose FPepi, epistasis detection tool based on flower pollination algorithm with multiple objectives. Two variants of the algorithm are proposed, one using Gini score and K2 score as objectives, while the second variant uses K2 score and mutual information score. The flower pollination algorithm selects a small subset of potential SNP combinations, that are then evaluated by G-test. The proposed tool shown better results in detection power when compared with other similar tools.

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Paper citation in several formats:
Sitarčík, J.; Lucká, M. and Krajčovič, T. (2021). Flower Pollination Algorithm for Detection of Epistasis Associated with a Phenotype. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 118-126. DOI: 10.5220/0010254500002865

@conference{bioinformatics21,
author={Jozef Sitarčík. and Mária Lucká. and Tibor Krajčovič.},
title={Flower Pollination Algorithm for Detection of Epistasis Associated with a Phenotype},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS},
year={2021},
pages={118-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010254500002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS
TI - Flower Pollination Algorithm for Detection of Epistasis Associated with a Phenotype
SN - 978-989-758-490-9
IS - 2184-4305
AU - Sitarčík, J.
AU - Lucká, M.
AU - Krajčovič, T.
PY - 2021
SP - 118
EP - 126
DO - 10.5220/0010254500002865
PB - SciTePress

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