{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T20:12:47Z","timestamp":1788293567841,"version":"build-2803163510"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1109\/bigcomp.2019.8679374","type":"proceedings-article","created":{"date-parts":[[2019,4,4]],"date-time":"2019-04-04T23:03:38Z","timestamp":1554419018000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["DeepFunNet: Deep Learning for Gene Functional Similarity Network Construction"],"prefix":"10.1109","author":[{"given":"Hongryul","family":"Ahn","sequence":"first","affiliation":[{"name":"Seoul National University","place":["Seoul, Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seunghyun","family":"Son","sequence":"additional","affiliation":[{"name":"Seoul National University","place":["Seoul, Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sun","family":"Kim","sequence":"additional","affiliation":[{"name":"Seoul National University","place":["Seoul, Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2017.01044"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0504201102"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw074"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.3300"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966076"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/75556"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1105\/tpc.107.052142"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/S0076-6879(99)03014-1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/nrg2484"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"4s","DOI":"10.1186\/1471-2105-9-S5-S4","article-title":"Metrics for go based protein semantic similarity: a systematic evaluation","volume":"9","author":"pesquita","year":"2008","journal-title":"BMC Bioinformatics"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbr066"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.bi.53.070184.000451"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.15252\/msb.20156651"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2007.07.003"},{"key":"ref3","first-page":"129","article-title":"Parsing natural scenes and natural language with recursive neural networks","author":"socher","year":"2011","journal-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.4233"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1101\/gr.8.5.509"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2636665"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18632\/aging.100968"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.drudis.2018.01.039"},{"key":"ref2","first-page":"173","article-title":"Deep speech 2: End-to-end speech recognition in english and mandarin","author":"amodei","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref9","first-page":"92890","article-title":"Creating a universal snp and small indel variant caller with deep neural networks","author":"poplin","year":"2017","journal-title":"BioRxiv"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.324"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkr1090"},{"key":"ref21","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg405"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/30.1.207"},{"key":"ref26","first-page":"1189","article-title":"Greedy function approximation: a gradient boosting machine","author":"friedman","year":"2001","journal-title":"Annals of Statistics"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gni179"}],"event":{"name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","location":"Kyoto, Japan","start":{"date-parts":[[2019,2,27]]},"end":{"date-parts":[[2019,3,2]]}},"container-title":["2019 IEEE International Conference on Big Data and Smart Computing (BigComp)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671661\/8678915\/08679374.pdf?arnumber=8679374","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T19:12:52Z","timestamp":1788289972000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8679374\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/bigcomp.2019.8679374","relation":{},"subject":[],"published":{"date-parts":[[2019,2]]}}}