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Slonim, Donna K. ; Winter, Christof ; Kristiansen, Glen ; Kersting, Stephan ; Roy, Janine ; Aust, Daniela ; Knösel, Thomas ; Rümmele, Petra ; Jahnke, Beatrix ; Hentrich, Vera ; Rückert, Felix ; Niedergethmann, Marco ; Weichert, Wilko ; Bahra, Marcus ; Schlitt, Hans J. ; Settmacher, Utz ; Friess, Helmut ; Büchler, Markus ; Saeger, Hans-Detlev ; Schroeder, Michael ; Pilarsky, Christian ; Grützmann, Robert

Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes

Article

Slonim, Donna K., Winter, Christof, Kristiansen, Glen , Kersting, Stephan, Roy, Janine, Aust, Daniela, Knösel, Thomas, Rümmele, Petra, Jahnke, Beatrix, Hentrich, Vera, Rückert, Felix, Niedergethmann, Marco, Weichert, Wilko, Bahra, Marcus, Schlitt, Hans J., Settmacher, Utz, Friess, Helmut, Büchler, Markus, Saeger, Hans-Detlev, Schroeder, Michael , Pilarsky, Christian and Grützmann, Robert (2012) Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes. PLoS Computational Biology 8 (5), e1002511.



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Item typeArticle
Journal or Publication TitlePLoS Computational Biology
PublisherPUBLIC LIBRARY SCIENCE
Place of PublicationSAN FRANCISCO
Volume8
Number of Issue or Book Chapter5
Page Rangee1002511
Date2012
Date of publication19 Dec 2024 09:40
InstitutionsMedicine > Lehrstuhl für Chirurgie
Medicine > Lehrstuhl für Pathologie
Identification Number
ValueType
10.1371/journal.pcbi.1002511DOI
KeywordsB-CELL LYMPHOMA; BREAST-CANCER; PANCREATIC-CANCER; EXPRESSION PROFILES; LUNG ADENOCARCINOMA; SURVIVAL; SIGNATURE; CLASSIFICATION; METASTASIS; VALIDATION;
Dewey Decimal Classification600 Technology > 610 Medical sciences Medicine
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
Item ID63761

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