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Fusion Gene Detection in Prostate Cancer Samples Enhances the Prediction of Prostate Cancer Clinical Outcomes from Radical Prostatectomy through Machine Learning in a Multi-Institutional Analysis.
Yu, Yan-Ping; Liu, Silvia; Ren, Bao-Guo; Nelson, Joel; Jarrard, David; Brooks, James D; Michalopoulos, George; Tseng, George; Luo, Jian-Hua.
Afiliación
  • Yu YP; Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Liu S; Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Ren BG; Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Nelson J; Department of Urology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Jarrard D; Department of Urology, University of Wisconsin School of Medicine, Madison, Wisconsin.
  • Brooks JD; Department of Urology, Stanford University School of Medicine, Stanford, California.
  • Michalopoulos G; Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Tseng G; Department of Biostatistics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Luo JH; Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Electronic address: luoj@upmc.edu.
Am J Pathol ; 193(4): 392-403, 2023 04.
Article en En | MEDLINE | ID: mdl-36681188
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Antígeno Prostático Específico Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Am J Pathol Año: 2023 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Antígeno Prostático Específico Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Am J Pathol Año: 2023 Tipo del documento: Article