{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T06:33:09Z","timestamp":1770359589536,"version":"3.49.0"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Natural Science Foundation of Guangdong Province","award":["2017A030313377"],"award-info":[{"award-number":["2017A030313377"]}]},{"name":"National Natural Science Foundation of Guangdong Province","award":["2016A030313047"],"award-info":[{"award-number":["2016A030313047"]}]},{"name":"Shenzhen Key Basic Research Project","award":["JCYJ20170818142347251"],"award-info":[{"award-number":["JCYJ20170818142347251"]}]},{"name":"Shenzhen Key Basic Research Project","award":["JCYJ20170818094109846"],"award-info":[{"award-number":["JCYJ20170818094109846"]}]},{"name":"Shenzhen Key Basic Research Project","award":["JCYJ20150930105133185"],"award-info":[{"award-number":["JCYJ20150930105133185"]}]},{"name":"Shenzhen Key Basic Research Project","award":["JCYJ20170302153337765"],"award-info":[{"award-number":["JCYJ20170302153337765"]}]},{"name":"Shenzhen Key Basic Research Project","award":["JCYJ2012061311"],"award-info":[{"award-number":["JCYJ2012061311"]}]},{"name":"Shenzhen Key Basic Research Project","award":["3419607"],"award-info":[{"award-number":["3419607"]}]},{"name":"Innovation and Entrepreneurship Training Program for College Students","award":["803-00002"],"award-info":[{"award-number":["803-00002"]}]},{"name":"Innovation and Entrepreneurship Training Program for College Students","award":["7060214"],"award-info":[{"award-number":["7060214"]}]},{"name":"Innovation and Entrepreneurship Training Program for College Students","award":["803-"],"award-info":[{"award-number":["803-"]}]},{"name":"Innovation and Entrepreneurship Training Program for College Students","award":["00002"],"award-info":[{"award-number":["00002"]}]},{"name":"Innovation and Entrepreneurship Training Program for College Students","award":["7060216"],"award-info":[{"award-number":["7060216"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/jbhi.2018.2845866","type":"journal-article","created":{"date-parts":[[2018,6,12]],"date-time":"2018-06-12T18:53:34Z","timestamp":1528829614000},"page":"1290-1303","source":"Crossref","is-referenced-by-count":36,"title":["Protein\u2013Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine"],"prefix":"10.1109","volume":"23","author":[{"given":"Haijun","family":"Lei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuting","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuhong","family":"You","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6110-7886","authenticated-orcid":false,"given":"Ahmed","family":"Elazab","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ee-Leng","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yujia","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3087-2550","authenticated-orcid":false,"given":"Baiying","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","first-page":"713","article-title":"Detection of protein-protein interactions from amino acid sequences using a rotation forest model with a novel PR-LPQ descriptor","author":"wong","year":"0","journal-title":"Proc Int Conf Intell Comput"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.5b00320"},{"key":"ref71","first-page":"1207","volume":"22","author":"nanni","year":"2006","journal-title":"An Ensemble of K-Local Hyperplanes for Predicting Protein–Protein Interactions"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.05.007"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.08.063"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2629462"},{"key":"ref38","first-page":"53","article-title":"Bridging computational features toward multiple semantic features with multi-task regression: A study of CT pulmonary nodules","author":"chen","year":"0","journal-title":"Proc Med Image Comput Comput -Assist Intervention"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2673241"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2691005"},{"key":"ref31","article-title":"Vanishing component analysis","author":"livni","year":"0","journal-title":"Proc of the 30th Int Conf on Machine Learning"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2655720"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1987.10488247"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2763618"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2403356"},{"key":"ref34","first-page":"1","article-title":"Dynamic graph learning for spectral feature selection","volume":"2017","author":"zheng","year":"2017","journal-title":"Multimedia Tools Appl"},{"key":"ref60","first-page":"211","article-title":"Sparse bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref62","first-page":"559","article-title":"On lines and planes of closest fit to systems of points in space","volume":"2","author":"pearson","year":"1901","journal-title":"Philosoph Mag"},{"key":"ref61","first-page":"1431","article-title":"Two-dimensional linear discriminant analysis","volume":"5","author":"ye","year":"2009","journal-title":"Photogramm Eng Remote Sens"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2602823"},{"key":"ref28","first-page":"1","article-title":"Ultrasound image based tumor classification via deep polynomial network and multiple kernel learning","volume":"13","author":"jun","year":"2017","journal-title":"Curr Med Imag Rev"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.07.018"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/978-3-319-24888-2_38","article-title":"Tumor classification by deep polynomial network and multiple kernel learning on small ultrasound image dataset","volume":"9352","author":"liu","year":"0","journal-title":"Mach Learn Med Imag"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2703636"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1074\/jbc.M510617200"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.01.074"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-1253-9"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1002\/mrd.1080420414"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2005.08.029"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"4569","DOI":"10.1073\/pnas.061034498","article-title":"A comprehensive two-hybrid analysis to explore the yeast protein interactome","volume":"98","author":"ito","year":"2001","journal-title":"Proc Nat Acad Sci USA"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1021\/ja0152815"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref22","first-page":"255","article-title":"Convolutional networks for images, speech, and time series","author":"lecun","year":"1998","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref24","first-page":"259","author":"bian","year":"2017","journal-title":"Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383157"},{"key":"ref26","first-page":"4748","article-title":"An algorithm for training polynomial networks","volume":"26","author":"livni","year":"2013","journal-title":"Comput Sci"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/srep24454"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553401"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/30.1.303"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1021\/pr100618t"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkj141"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bth483"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.01.072"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/72.655045"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.809401"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1080\/00207178908953472"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-14-S8-S10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0125811"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2466616"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-1035-4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/ijms17101623"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00726-012-1416-6"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00726-011-0848-8"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1155\/2015\/902198","article-title":"Using weighted sparse representation model combined with discrete cosine transformation to predict protein-protein interactions from protein sequence","volume":"2015","author":"huang","year":"2015","journal-title":"Biomed Res Int"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/s12918-016-0360-6"},{"key":"ref18","first-page":"254","article-title":"Prediction of protein-protein Interactions using local description of amino acid sequence","volume":"202","author":"zhou","year":"2011","journal-title":"Commun Comput Inf Sci"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1038\/415141a","article-title":"Functional organization of the yeast proteome by systematic analysis of protein complexes","volume":"415","author":"gavin","year":"2002","journal-title":"Nature"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/prot.10074"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtbi.2017.06.003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12033-007-0069-2"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1093\/nar\/gkn159","article-title":"Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences","volume":"36","author":"guo","year":"2008","journal-title":"Nucleic Acids Res"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"4337","DOI":"10.1073\/pnas.0607879104","article-title":"Predicting protein-protein interactions based only on sequences information","volume":"104","author":"shen","year":"2007","journal-title":"Proc Nat Acad Sci USA"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1007\/978-3-642-22456-0_37","article-title":"Prediction of protein-protein interactions using local description of amino acid sequence","author":"zhou","year":"2011","journal-title":"Advances in Computer Science and Education Applications"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"10915","DOI":"10.1073\/pnas.89.22.10915","article-title":"Amino acid substitution matrices from protein blocks","volume":"89","author":"henikoff","year":"1992","journal-title":"Proc Nat Acad Sci"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.05.078"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref41","first-page":"161","article-title":"Monitoring the hydrophilicity\/hydrophobicity of amino acid side-chains in the non-polar and polar faces of amphipathic alpha-helices by reversed-phase and hydrophilic interaction\/cation-exchange chromatography","volume":"1053","author":"hodges","year":"0","journal-title":"Proc Amer Peptide Symp"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2332764"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-012-1010-9"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/8705605\/08382154.pdf?arnumber=8382154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:53:33Z","timestamp":1657745613000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8382154\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":74,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2018.2845866","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5]]}}}