Multifactorial Dimensionality Reduction for Disordered Trait

Alexander Rakitko

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Paper

Multifactorial Dimensionality Reduction for Disordered Trait

Topics: Algorithms and Software Tools; Biostatistics and Stochastic Models; Data Mining and Machine Learning; Genomics and Proteomics; Simulation

In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 0BIOSTEC, 232-236, 2015 , Lisbon, Portugal

Author: Alexander Rakitko

Affiliation: Lomonosov Moscow State University, Russian Federation

Keyword(s): GWAS, Multifactorial Dimensionality Reduction, Associated Factors, Disordered Response, Cross-validation Procedure.

Related Ontology Subjects/Areas/Topics: Agents ; Algorithms and Software Tools ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Biostatistics and Stochastic Models ; Data Mining and Machine Learning ; Enterprise Information Systems ; Genomics and Proteomics ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Operational Research ; Simulation

Abstract: We develop our recent works concerning the identification of the factors associated with a certain complex disease. The case of disordered discrete trait is studied. We build two models (3D and 2D) for the range of response variable indicating the state of the health of a patient. In this work we consider the problem of optimal forecast for response variable depending on a finite collection of factors with values in arbitrary finite set. The quality of prediction is described by the error function involving a penalty function. The estimation of the error requires some cross-validation procedure. The developed approach provides the basis to identify the set of significant factors. Such problem arises naturally, e.g., in the genome-wide association study. Using simulated data we illustrate the efficiency of our method.

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Paper citation in several formats:

Rakitko, A. (2015). Multifactorial Dimensionality Reduction for Disordered Trait. In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2015) - BIOINFORMATICS; ISBN 978-989-758-070-3; ISSN 2184-4305, SciTePress, pages 232-236. DOI: 10.5220/0005285302320236

@conference{bioinformatics15,
author={Alexander Rakitko.},
title={Multifactorial Dimensionality Reduction for Disordered Trait},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2015) - BIOINFORMATICS},
year={2015},
pages={232-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005285302320236},
isbn={978-989-758-070-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2015) - BIOINFORMATICS
TI - Multifactorial Dimensionality Reduction for Disordered Trait
SN - 978-989-758-070-3
IS - 2184-4305
AU - Rakitko, A.
PY - 2015
SP - 232
EP - 236
DO - 10.5220/0005285302320236
PB - SciTePress