Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification.

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作者： George Ekow,Quaye ^[1] ; Wen-Yee,Lee ^[2] ; Elizabeth,Noriega Landa ^[2] ; Sabur,Badmos ^[2] ; Kiana L,Holbrook ^[2] ; Xiaogang,Su ^[1]

作者单位： Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX, USA. ^[1] Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, TX, USA. ^[2]

关键词 Classification PLS-DA high dimensional (HD) modeling prostate cancer screening and diagnosis regularized logistic regression volatile organic compounds (VOC)

DOI 10.1080/02664763.2024.2346355

PMID 39628860

发布时间 2024-12-04

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Journal of applied statistics

2024年51卷16期

3468-3485页

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Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification.

Journal of applied statistics

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Journal of applied statistics

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Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification.

Journal of applied statistics

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Journal of applied statistics

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