Title |
Utilizing molecular network information via graph convolutional neural networks to predict metastatic event in breast cancer / Hryhorii Chereda, Annalen Bleckmann, Frank Kramer, Andreas Leha, Tim Beissbarth ; Herausgeber: Rainer Röhrig, Harald Binder, Hans-Ulrich Prokosch, Ulrich Sax, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf |
|---|---|
Involved |
Hryhorii Chereda (Verfasser)
Annalen Bleckmann (Verfasser) Frank Kramer (Verfasser) Andreas Leha (Verfasser)
Tim Beißbarth (Verfasser)
Rainer Röhrig (Herausgeber) Harald Binder (Herausgeber) Hans-Ulrich Prokosch (Herausgeber) Ulrich Sax (Herausgeber) Irene Schmidtmann (Herausgeber) Susanne Stolpe (Herausgeber) Antonia Zapf (Herausgeber) |
Published |
Augsburg: Universität Augsburg |
Extent |
Online-Ressource |
Language |
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Country |
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Topic |
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DDC notation |
|
Series |
Studies in Health Technology and Informatics ; 267 |
Persistent identifier |
urn:nbn:de:bvb:384-opus4-1173653 (URN) |
Further information |
In: German medical data sciences: shaping change – creative solutions for innovative medicine; proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany – GMDS 2019, S. 181-186 |
Record ID |
1351220004 |
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