Sparse Regression in Cancer Genomics: Comparing Variable Selection and Predictions in Real World Data.

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Bibliographic Details
Title: Sparse Regression in Cancer Genomics: Comparing Variable Selection and Predictions in Real World Data.
Authors: O'Shea RJ; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK., Tsoka S; Department of Informatics, School of Natural and Mathematical Sciences, King's College London, London, UK., Cook GJ; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; King's College London & Guy's and St Thomas' PET Centre, St Thomas' Hospital, London, UK., Goh V; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Source: Cancer informatics [Cancer Inform] 2021 Nov 27; Vol. 20, pp. 11769351211056298. Date of Electronic Publication: 2021 Nov 27 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 101258149 Publication Model: eCollection Cited Medium: Print ISSN: 1176-9351 (Print) Linking ISSN: 11769351 NLM ISO Abbreviation: Cancer Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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