%0 Journal Article %1 jurman2017convolutional %A Jurman, Giuseppe %A Maggio, Valerio %A Fioravanti, Diego %A Giarratano, Ylenia %A Landi, Isotta %A Francescatto, Margherita %A Agostinelli, Claudio %A Chierici, Marco %A De Domenico, Manlio %A Furlanello, Cesare %D 2017 %J arXiv preprint arXiv:1710.05918 %K multi multiomics structure background knowledge omics graph cnn convolutional neural network citedby:scholar:count:2 citedby:scholar:timestamp:2020-8-31 %T Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer

@article{jurman2017convolutional, added-at = {2020-08-31T07:35:21.000+0200}, author = {Jurman, Giuseppe and Maggio, Valerio and Fioravanti, Diego and Giarratano, Ylenia and Landi, Isotta and Francescatto, Margherita and Agostinelli, Claudio and Chierici, Marco and De Domenico, Manlio and Furlanello, Cesare}, biburl = {https://www.bibsonomy.org/bibtex/2abb453bc9f06d2dd80712da0248ce186/becker}, interhash = {840f121990bfbeb05a11b0b8e82de154}, intrahash = {abb453bc9f06d2dd80712da0248ce186}, journal = {arXiv preprint arXiv:1710.05918}, keywords = {multi multiomics structure background knowledge omics graph cnn convolutional neural network citedby:scholar:count:2 citedby:scholar:timestamp:2020-8-31}, timestamp = {2020-08-31T07:35:21.000+0200}, title = {Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer}, year = 2017 }