Sparse modelling of cancer patients’ survival based on genomic copy number alterations

Alqahtani, K, Taylor, CC orcid.org/0000-0003-0181-1094, Wood, HM orcid.org/0000-0003-3009-5904 et al. (1 more author) (2022) Sparse modelling of cancer patients’ survival based on genomic copy number alterations. Journal of Biomedical Informatics, 128. 104025. ISSN 1532-0464

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Item Type: Article
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© 2022 Elsevier Inc. All rights reserved. This is an author produced version of an article published in Journal of Biomedical Informatics (JBI). Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Cox proportional hazard; Regression; Sparse solution; Copy number alterations; Lung cancer
Dates:
  • Published: April 2022
  • Published (online): 16 February 2022
  • Accepted: 5 February 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 18 Mar 2022 16:49
Last Modified: 16 Feb 2023 01:13
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.jbi.2022.104025
Open Archives Initiative ID (OAI ID):

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