A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression

Kalaitzis, A.A. and Lawrence, N.D. orcid.org/0000-0001-9258-1030 (2011) A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression. BMC Bioinformatics, 12. 180. ISSN 1471-2105

Abstract

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Copyright, Publisher and Additional Information: © Kalaitzis and Lawrence; licensee BioMed Central Ltd. 2011 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Course microarray experiments; regulatory networks; series; inference; profiles; identification
Dates:
  • Published: 20 May 2011
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 Dec 2016 09:23
Last Modified: 05 Dec 2016 09:23
Published Version: http://dx.doi.org/10.1186/1471-2105-12-180
Status: Published
Publisher: BioMed Central
Refereed: Yes
Identification Number: https://doi.org/10.1186/1471-2105-12-180

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