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Author: Jaime Seguel

Affiliation: University of Puerto Rico at Mayagüez, United States

ISBN: 978-989-758-070-3

Keyword(s): Gene Expression, Expression Threshold, Algorithm, Binarization, Aggregation.

Related Ontology Subjects/Areas/Topics: Algorithms and Software Tools ; Bioinformatics ; Biomedical Engineering

Abstract: A basic problem in the construction of network representations of gene interactions is deciding whether a gene is or is not expressed at a time instant. This problem, referred here as the gene expression decision problem, has been approached with statistical and numerical algorithms. Numerical methods are based on different intuitions on what signals a gene expression threshold and as a consequence, they often return different answers. Consequently, the choice of a particular gene expression decision algorithm influences the gene interaction model. This article proposes an aggregation methodology for numerical gene expression decision algorithms that is based on voting. The result is thus, the expression decision made by the majority of the algorithms, provided that that decision is consistent with an underlying logical law referred as the doctrine. The proposed method is compared with some non-voting aggregation algorithms.

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Paper citation in several formats:
Seguel, J. (2015). Multi-Algorithmic Approaches to Gene Expression Binarization.In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2015) ISBN 978-989-758-070-3, pages 109-115. DOI: 10.5220/0005203701090115

@conference{bioinformatics15,
author={Jaime Seguel.},
title={Multi-Algorithmic Approaches to Gene Expression Binarization},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2015)},
year={2015},
pages={109-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005203701090115},
isbn={978-989-758-070-3},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2015)
TI - Multi-Algorithmic Approaches to Gene Expression Binarization
SN - 978-989-758-070-3
AU - Seguel, J.
PY - 2015
SP - 109
EP - 115
DO - 10.5220/0005203701090115

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