loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Vladimir Nikulin and Geoffrey J. McLachlan

Affiliation: University of Queensland, Australia

Keyword(s): Matrix factorisation, Gradient-based optimisation, Cross-validation, Gene expression data.

Related Ontology Subjects/Areas/Topics: Algorithms and Software Tools ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Biostatistics and Stochastic Models ; Computational Intelligence ; Data Mining and Machine Learning ; Soft Computing

Abstract: The high dimensionality of microarray data, the expressions of thousands of genes in a much smaller number of samples, presents challenges that affect the applicability of the analytical results. In principle, it would be better to describe the data in terms of a small number of metagenes, derived as a result of matrix factorisation, which could reduce noise while still capturing the essential features of the data. We propose a fast and general method for matrix factorization which is based on decomposition by parts that can reduce the dimension of expression data from thousands of genes to several factors. Unlike classification and regression, matrix decomposition requires no response variable and thus falls into category of unsupervised learning methods. We demonstrate the effectiveness of this approach to the supervised classification of gene expression data.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.237.24.82

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nikulin, V. and J. McLachlan, G. (2010). ON THE GRADIENT-BASED ALGORITHM FOR MATRIX FACTORIZATION APPLIED TO DIMENSIONALITY REDUCTION. In Proceedings of the First International Conference on Bioinformatics (BIOSTEC 2010) - BIOINFORMATICS; ISBN 978-989-674-019-1; ISSN 2184-4305, SciTePress, pages 147-152. DOI: 10.5220/0002736601470152

@conference{bioinformatics10,
author={Vladimir Nikulin. and Geoffrey {J. McLachlan}.},
title={ON THE GRADIENT-BASED ALGORITHM FOR MATRIX FACTORIZATION APPLIED TO DIMENSIONALITY REDUCTION},
booktitle={Proceedings of the First International Conference on Bioinformatics (BIOSTEC 2010) - BIOINFORMATICS},
year={2010},
pages={147-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002736601470152},
isbn={978-989-674-019-1},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Bioinformatics (BIOSTEC 2010) - BIOINFORMATICS
TI - ON THE GRADIENT-BASED ALGORITHM FOR MATRIX FACTORIZATION APPLIED TO DIMENSIONALITY REDUCTION
SN - 978-989-674-019-1
IS - 2184-4305
AU - Nikulin, V.
AU - J. McLachlan, G.
PY - 2010
SP - 147
EP - 152
DO - 10.5220/0002736601470152
PB - SciTePress