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%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
}