{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:57Z","timestamp":1740100077488,"version":"3.37.3"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,1]]},"DOI":"10.1109\/ieeeconf51394.2020.9443364","type":"proceedings-article","created":{"date-parts":[[2021,6,4]],"date-time":"2021-06-04T01:32:35Z","timestamp":1622770355000},"page":"506-510","source":"Crossref","is-referenced-by-count":3,"title":["Visualizing and Annotating Protein Sequences using A Deep Neural Network"],"prefix":"10.1109","author":[{"given":"Zhengqiao","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Gail","family":"Rosen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbz081"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/ijms19010183"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx624"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1101\/626507","article-title":"Using deep learning to annotate the protein universe","author":"bileschi","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2020.00004"},{"key":"ref15","article-title":"Feed-forward networks with attention can solve some long-term memory problems","volume":"abs 1512 8756","author":"raffel","year":"2015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2034"},{"article-title":"Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures","year":"2016","author":"deming","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-020-03744-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2014.80"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-9-S5-S2"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"330d","DOI":"10.1093\/nar\/gky1055","article-title":"The gene ontology resource: 20 years and still going strong","volume":"47","author":"consortium","year":"2019","journal-title":"Nucleic Acids Research"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/75556"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/25.17.3389"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-3743-1_15"},{"key":"ref2","article-title":"Deepred: Automated protein function prediction with multi-task feed-forward deep neural networks","volume":"9","author":"rifaioglu","year":"2019","journal-title":"Scientific Reports"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv461"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2340"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.1101\/2020.10.12.336271","article-title":"Learning, visualizing and exploring 16s rrna structure using an attention-based deep neural network","author":"zhao","year":"2020"},{"key":"ref22","first-page":"23","volume":"1374","author":"boutet","year":"2016","journal-title":"UniProtKB\/Swiss-Prot the Manually Annotated Section of the UniProt KnowledgeBase How to Use the Entry View"},{"journal-title":"Amino Acids","year":"2020","key":"ref21"},{"key":"ref24","first-page":"1027","article-title":"K-means++: The advantages of careful seeding","volume":"8","author":"arthur","year":"2007"},{"key":"ref23","first-page":"2579","article-title":"Viualizing data using t-sne","volume":"9","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gky995"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2017.09.015"}],"event":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","start":{"date-parts":[[2020,11,1]]},"location":"Pacific Grove, CA, USA","end":{"date-parts":[[2020,11,4]]}},"container-title":["2020 54th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9443248\/9443268\/09443364.pdf?arnumber=9443364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:52:39Z","timestamp":1656453159000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9443364\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,1]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf51394.2020.9443364","relation":{},"subject":[],"published":{"date-parts":[[2020,11,1]]}}}