Building a DNA Methylation Aging Clock Model on Less Labelled Data Using Item Response Theory

Keiji Yasuda, Keiji Yasuda, Miyuki Nakamura, Masatoshi Nagata, Masaru Honjo

2023

Abstract

A method is proposed for DNA methylation analysis using item response theory. The analysis method consists of two steps: a cytosine phosphate guanine (CpG) sites selection step, and a parameters estimation step. Experiments are carried out to compare several CpG site selection conditions and evaluate if item response theory (IRT) can be applied to methylation analysis. According to the results of an experiment on public data measured by infinium HumanMethylation450 BeadChip, even under the condition of less age-labelled epigenetic data, CpG site filtering works well and the following IRT-based epigenetic clock model produced precise performance.

Paper Citation

in Harvard Style

Yasuda K., Nakamura M., Nagata M. and Honjo M. (2023). Building a DNA Methylation Aging Clock Model on Less Labelled Data Using Item Response Theory. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-631-6, SciTePress, pages 139-145. DOI: 10.5220/0011624400003414

in Bibtex Style

@conference{bioinformatics23,
author={Keiji Yasuda and Miyuki Nakamura and Masatoshi Nagata and Masaru Honjo},
title={Building a DNA Methylation Aging Clock Model on Less Labelled Data Using Item Response Theory},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS},
year={2023},
pages={139-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011624400003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS
TI - Building a DNA Methylation Aging Clock Model on Less Labelled Data Using Item Response Theory
SN - 978-989-758-631-6
AU - Yasuda K.
AU - Nakamura M.
AU - Nagata M.
AU - Honjo M.
PY - 2023
SP - 139
EP - 145
DO - 10.5220/0011624400003414
PB - SciTePress