Multiobjective feature selection for microarray data via distributed parallel algorithms

Cao, B., Zhao, J., Yang, P. et al. (7 more authors) (2019) Multiobjective feature selection for microarray data via distributed parallel algorithms. Future Generation Computer Systems, 100. pp. 952-981. ISSN 0167-739X

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Elsevier. This is an author produced version of a paper subsequently published in Future Generation Computer Systems. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: microarray data set; high dimension; multiobjective feature selection; distributed parallelism; feature redundancy
Dates:
  • Accepted: 18 February 2019
  • Published (online): 17 May 2019
  • Published: November 2019
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: 12 Sep 2019 11:37
Last Modified: 12 Sep 2019 11:37
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.future.2019.02.030

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Filename: FGCS_FS_MicArr1.pdf

Licence: CC-BY-NC-ND 4.0

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