Identifying New Potential Biomarkers in Adrenocortical Tumors Based on mRNA Expression Data Using Machine Learning.

Marquardt, André; Landwehr, Laura-Sophie; Ronchi, Cristina L; di Dalmazi, Guido; Riester, Anna; Kollmannsberger, Philip; Altieri, Barbara; Fassnacht, Martin; Sbiera, Silviu

Marquardt, André; Landwehr, Laura-Sophie; Ronchi, Cristina L; di Dalmazi, Guido; Riester, Anna; Kollmannsberger, Philip; Altieri, Barbara; Fassnacht, Martin; Sbiera, Silviu.

Afiliação

Marquardt A; Comprehensive Cancer Center Mainfranken, University Hospital, University of Würzburg, 97080 Würzburg, Germany.
Landwehr LS; Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany.
Ronchi CL; Interdisciplinary Center for Clinical Research, University Hospital Würzburg, 97080 Würzburg, Germany.
di Dalmazi G; Bavarian Cancer Research Center (BZKF), 97080 Würzburg, Germany.
Riester A; Division of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97080 Würzburg, Germany.
Kollmannsberger P; Division of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97080 Würzburg, Germany.
Altieri B; Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, UK.
Fassnacht M; Endocrinology Unit, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Sbiera S; Department of Endocrinology, Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-University, 80336 Munich, Germany.

Cancers (Basel) ; 13(18)2021 Sep 17.

Article em En | MEDLINE | ID: mdl-34572898

Palavras-chave

adrenocortical carcinoma; bioinformatic clustering; biomarker prediction; in silico analysis; machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Cancers (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha

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