%0 Conference Paper %1 chereda2019utilizing %A Chereda, Hryhorii %A Bleckmann, Annalen %A Kramer, Frank %A Leha, Andreas %A Beissbarth, Tim %B GMDS %D 2019 %K breast cancer citedby:scholar:count:2 citedby:scholar:timestamp:2020-8-2 convolutional deep graph learning molecular networks neural project:bmbf %P 181--186 %T Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer.

@inproceedings{chereda2019utilizing, added-at = {2020-08-02T20:38:29.000+0200}, author = {Chereda, Hryhorii and Bleckmann, Annalen and Kramer, Frank and Leha, Andreas and Beissbarth, Tim}, biburl = {https://www.bibsonomy.org/bibtex/2736f58f7b579b9304b27419608637424/becker}, booktitle = {GMDS}, interhash = {dacac4e99e4c43c35854c87d6538e8bf}, intrahash = {736f58f7b579b9304b27419608637424}, keywords = {breast cancer citedby:scholar:count:2 citedby:scholar:timestamp:2020-8-2 convolutional deep graph learning molecular networks neural project:bmbf}, pages = {181--186}, timestamp = {2021-07-25T21:20:24.000+0200}, title = {Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer.}, year = 2019 }