%0 Journal Article %1 zhang2018deep %A Zhang, Li %A Lv, Chenkai %A Jin, Yaqiong %A Cheng, Ganqi %A Fu, Yibao %A Yuan, Dongsheng %A Tao, Yiran %A Guo, Yongli %A Ni, Xin %A Shi, Tieliu %D 2018 %I Frontiers %J Frontiers in genetics %K paper:milkreview:selected citedby:scholar:count:42 citedby:scholar:timestamp:2021-5-29 %P 477 %T Deep learning-based multi-omics data integration reveals two prognostic subtypes in high-risk neuroblastoma %V 9

@article{zhang2018deep, added-at = {2021-05-29T02:40:12.000+0200}, author = {Zhang, Li and Lv, Chenkai and Jin, Yaqiong and Cheng, Ganqi and Fu, Yibao and Yuan, Dongsheng and Tao, Yiran and Guo, Yongli and Ni, Xin and Shi, Tieliu}, biburl = {https://www.bibsonomy.org/bibtex/2f43e7456fe08f1f08c0a13b5a49a051f/becker}, interhash = {11382f25915f0efa65ec09a54f8bfe61}, intrahash = {f43e7456fe08f1f08c0a13b5a49a051f}, journal = {Frontiers in genetics}, keywords = {paper:milkreview:selected citedby:scholar:count:42 citedby:scholar:timestamp:2021-5-29}, pages = 477, publisher = {Frontiers}, timestamp = {2021-05-29T02:40:12.000+0200}, title = {Deep learning-based multi-omics data integration reveals two prognostic subtypes in high-risk neuroblastoma}, volume = 9, year = 2018 }