{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T18:21:17Z","timestamp":1777832477784,"version":"3.51.4"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"AcRF Tier 2","award":["MOE2014-T2-2-023"],"award-info":[{"award-number":["MOE2014-T2-2-023"]}]},{"DOI":"10.13039\/501100001459","name":"Ministry of Education - Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001459","id-type":"DOI","asserted-by":"publisher"}]},{"name":"A*STAR-NTU-SUTD AI Partnership","award":["RGANS1905"],"award-info":[{"award-number":["RGANS1905"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2022,11,1]]},"DOI":"10.1109\/tcbb.2021.3108971","type":"journal-article","created":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T16:08:50Z","timestamp":1630512530000},"page":"3497-3506","source":"Crossref","is-referenced-by-count":23,"title":["IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1403-0396","authenticated-orcid":false,"given":"Rui","family":"Yin","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nyi Nyi","family":"Thwin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Zhuang","sequence":"additional","affiliation":[{"name":"School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4942-160X","authenticated-orcid":false,"given":"Zhuoyi","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8547-6387","authenticated-orcid":false,"given":"Chee Keong","family":"Kwoh","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1188","article-title":"Distributed representations of sentences and documents","author":"le","year":"2014","journal-title":"Proc 31st Int Conf Mach Learn"},{"key":"ref38","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm638"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.vaccine.2009.02.047"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2807\/1560-7917.ES.2017.22.13.30494"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkr1184"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2174\/1573406411666141229162834"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0112302"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/molbev\/mst010"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1128\/CVI.00613-15"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm098"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa901"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkg095"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3121138.3121166"},{"key":"ref1","article-title":"Fact sheet no. 211[J].","year":"0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/srep31156"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-018-5282-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-01699-z"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty302"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2018.02500"},{"key":"ref26","first-page":"2560","article-title":"Protein secondary structure prediction using cascaded convolutional and recurrent neural networks","author":"li","year":"0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx264"},{"key":"ref50","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq160"},{"key":"ref59","article-title":"Rmsprop gradient optimization","author":"tieleman","year":"2014"},{"key":"ref58","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016"},{"key":"ref57","article-title":"ADADELTA: An adaptive learning rate method","author":"zeiler","year":"2012"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref55","first-page":"27","article-title":"Evaluation measures for models assessment over imbalanced data sets","volume":"3","author":"bekkar","year":"2013","journal-title":"J Inf Eng Appl"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31865-1_25"},{"key":"ref53","article-title":"Automatic differentiation in pyTorch","author":"paszke","year":"0"},{"key":"ref52","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1126\/science.1097211"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/srep14171"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0141287"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.vaccine.2012.07.079"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0126742"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1525578113"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.ppat.1005526"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3201\/eid1008.040107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1128\/mBio.00230-13"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0207777"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/srep42051"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/science.1135165"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/science.1093373"},{"key":"ref6","article-title":"Towards a universal influenza vaccine: Different approaches for one goal","volume":"15","author":"sautto","year":"2018","journal-title":"Journal of Virology"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720020400028"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12920-019-0656-7"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa050"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref9","first-page":"63","article-title":"Haemagglutination-inhibiting antibody to influenza virus","volume":"115","author":"palache","year":"2003","journal-title":"Developments in Biologicals"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.177"},{"key":"ref45","article-title":"Protein family classification with neural networks","volume":"10","author":"lee","year":"2016"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/ijms20112845"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.6b00740"},{"key":"ref42","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst"},{"key":"ref41","article-title":"Learning protein sequence embeddings using information from structure","author":"bepler","year":"0"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.251"},{"key":"ref43","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/9976468\/09527159.pdf?arnumber=9527159","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T14:43:44Z","timestamp":1722523424000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9527159\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,1]]},"references-count":60,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2021.3108971","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2020.07.15.204883","asserted-by":"object"}]},"ISSN":["1545-5963","1557-9964","2374-0043"],"issn-type":[{"value":"1545-5963","type":"print"},{"value":"1557-9964","type":"electronic"},{"value":"2374-0043","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,1]]}}}