Urothelial cancer proteomics provides both prognostic and functional information.

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Urothelial cancer proteomics provides both prognostic and functional information.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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Urothelial cancer proteomics provides both prognostic and functional information.

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Urothelial cancer proteomics provides both prognostic and functional information.

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Item

label

Urothelial cancer proteomics provides both prognostic and functional information.

@en

Urothelial cancer proteomics provides both prognostic and functional information.

@nl

prefLabel

Urothelial cancer proteomics provides both prognostic and functional information.

@en

Urothelial cancer proteomics provides both prognostic and functional information.

@nl

P1476

Urothelial cancer proteomics provides both prognostic and functional information

@en

P2093

Andrea Zapater-Moros

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Daniel Castellano

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Guillermo Prado-Vazquez

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Guillermo de Velasco

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Gustavo Ruiz-Ares

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Hilario Navarro

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Irene Otero

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Jorge M Arevalillo

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Juan Angel Fresno Vara

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Juan M Sepúlveda

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P2860

Cytoscape: a software environment for integrated models of biomolecular interaction networks

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012

Invasive Bladder Cancer: Genomic Insights and Therapeutic Promise

Neoadjuvant chemotherapy in invasive bladder cancer: update of a systematic review and meta-analysis of individual patient data advanced bladder cancer (ABC) meta-analysis collaboration.

Personalized medicine and proteomics: lessons from non-small cell lung cancer.

Daratumumab, Bortezomib, and Dexamethasone for Multiple Myeloma.

Identification of distinct basal and luminal subtypes of muscle-invasive bladder cancer with different sensitivities to frontline chemotherapy

An 8-gene qRT-PCR-based gene expression score that has prognostic value in early breast cancer.

A framework for feature selection in clustering

P2888

s41598-017-15920-6

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scholarly article

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10.1038/S41598-017-15920-6

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P407

English

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P478

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P577

2017-11-17T00:00:00Z

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29150671

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5694001

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