{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:09:12Z","timestamp":1730200152497,"version":"3.28.0"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"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":[[2022,12,6]]},"DOI":"10.1109\/bibm55620.2022.9995233","type":"proceedings-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T14:09:24Z","timestamp":1672668564000},"page":"3252-3259","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal feature learning framework for disease biomarker discovery"],"prefix":"10.1109","author":[{"given":"Sudhir","family":"Ghandikota","sequence":"first","affiliation":[{"name":"University of Cincinnati,Department of Electrical Engineering and Computer Science,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaswanth K.","family":"Yella","sequence":"additional","affiliation":[{"name":"University of Cincinnati,Department of Electrical Engineering and Computer Science,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anil G.","family":"Jegga","sequence":"additional","affiliation":[{"name":"Cincinnati Children’s Hospital Medical Center,Division of Biomedical Informatics,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"arxiv:1705.09406","article-title":"Multimodal Machine Learning: A Survey and Taxonomy","author":"baltru\u0161aitis","year":"2017","journal-title":"ArXiv e-prints"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkz446"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2009192117"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2021.04.048"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1186\/1752-0509-1-54"},{"key":"ref14","first-page":"arxiv:1206.5538","article-title":"Representation Learning: A Review and New Perspectives","author":"bengio","year":"2012","journal-title":"ArXiv e-prints"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-9-559"},{"key":"ref31","first-page":"arxiv:1412.6980","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2014","journal-title":"ArXiv e-prints"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv007"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa935"},{"key":"ref33","first-page":"22","article-title":"DeepPurpose: a deep learning library for drug–target interaction prediction","volume":"36","author":"huang","year":"2020","journal-title":"Bioinformatics"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2019.00256"},{"key":"ref32","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2019.00452"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/1476-4598-6-50"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-31104-x"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btr260"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-021-02556-z"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkp427"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbaa244"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s13637-016-0046-9"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"991d","DOI":"10.1093\/nar\/gks1193","article-title":"NCBI GEO: archive for functional genomics data sets—update","volume":"41","author":"barrett","year":"2013","journal-title":"Nucleic Acids Research"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.12.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/ng.3259"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.06.001"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkz389"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1093\/bioinformatics\/btz682","article-title":"BioBERT: a pre-trained biomedical language representation model for biomedical text mining","volume":"36","author":"lee","year":"2020","journal-title":"Bioinformatics"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s13195-018-0396-5"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2922-4"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gky1131"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/NYSDS.2018.8538944"},{"key":"ref44","first-page":"arxiv:1912.01703","article-title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","author":"paszke","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-021-02577-8"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aba1983"},{"key":"ref28","first-page":"arxiv:1710.10903","article-title":"Graph Attention Networks","author":"veli?kovi?","year":"2017","journal-title":"ArXiv eprint"},{"key":"ref27","first-page":"arxiv:2010.00796","article-title":"JAKET: Joint Pre-training of Knowledge Graph and Language Understanding","author":"yu","year":"2020","journal-title":"ArXiv e-prints"},{"key":"ref29","first-page":"arxiv:1706.03762","article-title":"Attention Is All You Need","author":"vaswani","year":"2017","journal-title":"ArXiv e-prints"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.36255\/exonpublications.bioinformatics.2021.ch4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s12890-017-0472-9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006826"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1097\/MCP.0b013e328356d03c"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1136\/thoraxjnl-2013-204596"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0171344"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1152\/ajplung.00014.2014"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkab1028"}],"event":{"name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2022,12,6]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2022,12,8]]}},"container-title":["2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9994793\/9994847\/09995233.pdf?arnumber=9995233","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,19]],"date-time":"2023-03-19T15:49:16Z","timestamp":1679240956000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9995233\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,6]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/bibm55620.2022.9995233","relation":{},"subject":[],"published":{"date-parts":[[2022,12,6]]}}}