Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma (Q34365572)

1 August 2017

title

Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma (English)

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1 August 2017

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4

Aarno Palotie

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1 August 2017

5

Steve Horvath

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1 August 2017

Tao Shi

1

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1 August 2017

David Seligson

series ordinal

2

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1 August 2017

Arie S Belldegrun

series ordinal

3

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1 August 2017

publication date

1 April 2005

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1 August 2017

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1 August 2017

volume

18

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1 August 2017

issue

4

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1 August 2017

page(s)

547-557

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https://scigraph.springernature.com/pub.10.1038/modpathol.3800322

1 August 2017

exact match

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Value of immunohistochemical Ki-67 and p53 determinations as predictive factors of outcome in renal cell carcinoma

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The role of vimentin expression in predicting the long-term outcome of patients with localized renal cell carcinoma

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Intragenic PTEN/MMAC1 loss of heterozygosity in conventional (clear-cell) renal cell carcinoma is associated with poor patient prognosis

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Identification and classification of differentially expressed genes in renal cell carcinoma by expression profiling on a global human 31,500-element cDNA array

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Identifiers

DOI

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Dimensions Publication ID

1 August 2017

1029749610

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