{"_id":"ptxen3uKnKtQjDNBp","bibbaseid":"uhao-umasum-oh-ukang-geneandpathwaybaseddeepneuralnetworkformultiomicsdataintegrationtopredictcancersurvivaloutcomes-2019","authorIDs":["5dc4403f174e91de01000163"],"author_short":["<u>Hao, J.","<u>Masum, M.","Oh, J. H.","<u>Kang, M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Gene- and Pathway-based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes","author":[{"propositions":[],"lastnames":["<u>Hao"],"firstnames":["Jie</u>"],"suffixes":[]},{"propositions":[],"lastnames":["<u>Masum"],"firstnames":["Mohammad</u>"],"suffixes":[]},{"propositions":[],"lastnames":["Oh"],"firstnames":["Jung","Hun"],"suffixes":[]},{"propositions":[],"lastnames":["<u>Kang"],"firstnames":["Mingon</u><sup>†</sup>"],"suffixes":[]}],"booktitle":"2019 International Symposium on Bioinformatics Research and Applications (ISBRA)","year":"2019","url":"https://link.springer.com/chapter/10.1007/978-3-030-20242-2_10","topic":"BIOINFO, DEEPLEARNING","extranote":"- Regular paper (Acceptance rate: 22.6%) [<A href=\"https://github.com/DataX-JieHao/MiNet\" target=\"_black\">Source code</a>]","bibtex":"@inproceedings{jie2019gene,\n title={Gene- and Pathway-based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes},\n author={<u>Hao, Jie</u> and <u>Masum, Mohammad</u> and Oh, Jung Hun and <u>Kang, Mingon</u><sup>†</sup>},\n booktitle={2019 International Symposium on Bioinformatics Research and Applications (ISBRA)},\n year={2019},\n URL={https://link.springer.com/chapter/10.1007/978-3-030-20242-2_10},\n TOPIC={BIOINFO, DEEPLEARNING},\n extranote={- Regular paper (Acceptance rate: 22.6%) [<A href=\"https://github.com/DataX-JieHao/MiNet\" target=\"_black\">Source code</a>]}\n}\n","author_short":["<u>Hao, J.","<u>Masum, M.","Oh, J. H.","<u>Kang, M."],"key":"jie2019gene","id":"jie2019gene","bibbaseid":"uhao-umasum-oh-ukang-geneandpathwaybaseddeepneuralnetworkformultiomicsdataintegrationtopredictcancersurvivaloutcomes-2019","role":"author","urls":{"Paper":"https://link.springer.com/chapter/10.1007/978-3-030-20242-2_10"},"downloads":0,"html":""},"bibtype":"inproceedings","biburl":"http://mkang.faculty.unlv.edu/mypub.bib","creationDate":"2019-11-07T16:03:11.509Z","downloads":0,"keywords":[],"search_terms":["gene","pathway","based","deep","neural","network","multi","omics","data","integration","predict","cancer","survival","outcomes","<u>hao","<u>masum","oh","<u>kang"],"title":"Gene- and Pathway-based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes","year":2019,"dataSources":["nWWBh2fcThZd2Mk8M"]}