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Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
View ORCID ProfileYu Fu, View ORCID ProfileAlexander W Jung, Ramon Viñas Torne, View ORCID ProfileSantiago Gonzalez, View ORCID ProfileHarald Vöhringer, Mercedes Jimenez-Linan, View ORCID ProfileLuiza Moore, View ORCID ProfileMoritz Gerstung
doi: https://doi.org/10.1101/813543
Yu Fu
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
Alexander W Jung
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
Ramon Viñas Torne
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
Santiago Gonzalez
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
2Institute for Research in Biomedicine (IRB Barcelona), Parc Científic de Barcelona, Barcelona, Spain
Harald Vöhringer
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
Mercedes Jimenez-Linan
3Department of Pathology, Addenbrooke’s Hospital, Cambridge, UK
Luiza Moore
3Department of Pathology, Addenbrooke’s Hospital, Cambridge, UK
4Wellcome Sanger Institute, Hinxton, UK
Moritz Gerstung
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
5European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
Posted October 25, 2019.
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Yu Fu, Alexander W Jung, Ramon Viñas Torne, Santiago Gonzalez, Harald Vöhringer, Mercedes Jimenez-Linan, Luiza Moore, Moritz Gerstung
bioRxiv 813543; doi: https://doi.org/10.1101/813543
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