Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes (Q34276961)

1 August 2017

title

Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes (English)

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1 August 2017

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21

Robert Grützmann

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Hans-Detlev Saeger

18

Hans-Detlev Saeger

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Marco Niedergethmann

11

Marco Niedergethmann

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Wilko Weichert

12

Wilko Weichert

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Christian Pilarsky

20

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Markus Büchler

17

Markus Büchler

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1 August 2017

16

Helmut Friess

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19

Michael Schroeder

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1 August 2017

1

Christof Winter

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13

Marcus Bahra

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Glen Kristiansen

2

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1 August 2017

Stephan Kersting

3

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1 August 2017

Janine Roy

4

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1 August 2017

Daniela Aust

5

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1 August 2017

Thomas Knösel

6

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1 August 2017

Petra Rümmele

7

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1 August 2017

Beatrix Jahnke

8

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1 August 2017

Vera Hentrich

9

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Felix Rückert

10

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Hans J Schlitt

14

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Utz Settmacher

15

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1 August 2017

publication date

17 May 2012

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PLOS Computational Biology

1 August 2017

published in

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1 August 2017

volume

8

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1 August 2017

issue

5

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1 August 2017

page(s)

e1002511

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Creative Commons Attribution 4.0 International

1 August 2017

copyright license

start time

17 May 2012

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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6 July 2018

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Gene expression profiling predicts clinical outcome of breast cancer

6 July 2018

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6 July 2018

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Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning

6 July 2018

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6 July 2018

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Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

6 July 2018

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KEGG: kyoto encyclopedia of genes and genomes

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6 July 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

1 reference

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Pre-validation and inference in microarrays.

21 January 2018

1 reference

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1 reference

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https://pubmed.ncbi.nlm.nih.gov/22615549

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Gene expression signatures for predicting prognosis of squamous cell and adenocarcinomas of the lung

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https://pubmed.ncbi.nlm.nih.gov/22615549

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Genome-wide study of gene copy numbers, transcripts, and protein levels in pairs of non-invasive and invasive human transitional cell carcinomas

1 reference

https://pubmed.ncbi.nlm.nih.gov/22615549

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1 reference

https://pubmed.ncbi.nlm.nih.gov/22615549

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Sp1, a new biomarker that identifies a subset of aggressive pancreatic ductal adenocarcinoma

1 reference

https://pubmed.ncbi.nlm.nih.gov/22615549

12 December 2020

10.1371/JOURNAL.PCBI.1002511

Identifiers

DOI

1 reference

journals/ploscb/WinterKKRAKRJHRNWBSSFBSSPG12

1 August 2017

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

release_pwviuxhmabbq5mjbuofspszqka

28 January 2021

Fatcat ID

1 reference

Fatcat

https://api.fatcat.wiki/v0/release/pwviuxhmabbq5mjbuofspszqka

24 November 2022

mapped directly with Wikidata item

PMC publication ID

3355064

1 reference

1 August 2017

1 reference