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A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity.

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Bibliographic Details
Title: A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity.
Authors: Yu, Duo1, Huang, Meilin2, Kane, Michael J3, Hobbs, Brian P4
Source: Journal of the Royal Statistical Society: Series C (Applied Statistics); Jun2025, Vol. 74 Issue 3, p800-823, 24p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/jrsssc/qlaf001
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 800
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      – TitleFull: A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity.
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            NameFull: Yu, Duo
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            NameFull: Huang, Meilin
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            NameFull: Kane, Michael J
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            NameFull: Hobbs, Brian P
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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              Value: 74
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              Value: 3
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            – TitleFull: Journal of the Royal Statistical Society: Series C (Applied Statistics)
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