Integrative analysis of ferroptosis regulators for clinical prognosis based on deep learning and potential chemotherapy sensitivity of prostate cancer.

Guo, Tuanjie; Yuan, Zhihao; Wang, Tao; Zhang, Jian; Tang, Heting; Zhang, Ning; Wang, Xiang; Chen, Siteng

Guo, Tuanjie; Yuan, Zhihao; Wang, Tao; Zhang, Jian; Tang, Heting; Zhang, Ning; Wang, Xiang; Chen, Siteng.

Afiliação

Guo T; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Yuan Z; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Wang T; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Zhang J; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Tang H; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Zhang N; Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Wang X; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Chen S; Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200001, China.

Precis Clin Med ; 6(1): pbad001, 2023 Mar.

Article em En | MEDLINE | ID: mdl-36874167

Palavras-chave

deep learning; drug sensitivity; ferroptosis; prognosis; prostate cancer

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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