%0 Journal Article %1 cheerla2019deep %A Cheerla, Anika %A Gevaert, Olivier %D 2019 %I Oxford University Press %J Bioinformatics %K p21 related work multiomics image genes genetics gene citedby:scholar:count:31 citedby:scholar:timestamp:2021-2-15 %N 14 %P i446--i454 %T Deep learning with multimodal representation for pancancer prognosis prediction %V 35

@article{cheerla2019deep, added-at = {2021-02-15T02:06:16.000+0100}, author = {Cheerla, Anika and Gevaert, Olivier}, biburl = {https://www.bibsonomy.org/bibtex/29f4c1586ff9a548ccf85740911eb12af/becker}, interhash = {104af9b9be6ca322855bc6b597c86c2a}, intrahash = {9f4c1586ff9a548ccf85740911eb12af}, journal = {Bioinformatics}, keywords = {p21 related work multiomics image genes genetics gene citedby:scholar:count:31 citedby:scholar:timestamp:2021-2-15}, number = 14, pages = {i446--i454}, publisher = {Oxford University Press}, timestamp = {2021-02-15T02:06:16.000+0100}, title = {Deep learning with multimodal representation for pancancer prognosis prediction}, volume = 35, year = 2019 }