Accurate differentiation of renal tumour pathological subtypes using a machine learning model of epigenetic markers

被引：0

作者：

Rossi, S. ^{[1
]}

Newsham, I. ^{[1
]}

Pita, S. ^{[1
]}

Park, G. ^{[1
]}

Lach, R. ^{[1
]}

Babbage, A. ^{[1
]}

Smith, C. ^{[1
]}

Brennan, K. ^{[2
]}

Mitchell, T. ^{[3
]}

Warren, A. ^{[4
]}

Gevaert, O. ^{[2
]}

Leppert, J. ^{[5
]}

Stewart, G. D. ^{[3
]}

Massie, C. E. ^{[1
]}

Samarajiwa, S. A. ^{[1
]}

机构：

[1] Univ Cambridge, Hutchison MRC Res Inst, Dept Oncol, Cambridge, England

[2] Stanford Univ, Dept Med, BMIR, Stanford, CA 94305 USA

[3] Univ Cambridge, Dept Urol, Cambridge, England

[4] Univ Cambridge, Dept Pathol, Cambridge, England

[5] Stanford Univ, Dept Urol, Stanford, CA 94305 USA

来源：

EUROPEAN UROLOGY | 2021年 / 79卷

关键词：

D O I：

暂无

中图分类号：

R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];

学科分类号：

1002 ; 100201 ;

摘要：

P0594

引用

页码：S811 / S811

页数：1

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