{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:52:45Z","timestamp":1740135165569,"version":"3.37.3"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T00:00:00Z","timestamp":1565740800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T00:00:00Z","timestamp":1565740800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1186\/s12859-019-2959-2","type":"journal-article","created":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T13:02:49Z","timestamp":1565787769000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction"],"prefix":"10.1186","volume":"20","author":[{"given":"Paolo","family":"Perlasca","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5701-0080","authenticated-orcid":false,"given":"Marco","family":"Frasca","sequence":"additional","affiliation":[]},{"given":"Cheick Tidiane","family":"Ba","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Notaro","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Petrini","sequence":"additional","affiliation":[]},{"given":"Elena","family":"Casiraghi","sequence":"additional","affiliation":[]},{"given":"Giuliano","family":"Grossi","sequence":"additional","affiliation":[]},{"given":"Jessica","family":"Gliozzo","sequence":"additional","affiliation":[]},{"given":"Giorgio","family":"Valentini","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Mesiti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,14]]},"reference":[{"issue":"3","key":"2959_CR1","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1038\/nmeth.2340","volume":"10","author":"P Radivojac","year":"2013","unstructured":"Radivojac P, et al. A large-scale evaluation of computational protein function prediction. Nat Methods. 2013; 10(3):221\u20137.","journal-title":"Nat Methods"},{"issue":"0","key":"2959_CR2","doi-asserted-by":"publisher","first-page":"bav003","DOI":"10.1093\/database\/bav003","volume":"2015","author":"S. Negi","year":"2015","unstructured":"Jiang Y, et al. An expanded evaluation of protein function prediction methods shows an improvement in accuracy. Genome Biol. 2016;17(184). \n                    https:\/\/doi.org\/10.1093\/database\/bav003\n                    \n                  .","journal-title":"Database"},{"key":"2959_CR3","doi-asserted-by":"publisher","unstructured":"Mesiti M, Jim\u00e9nez-Ruiz E, Sanz I, Berlanga-Llavori R, Perlasca P, Valentini G, Manset D. Xml-based approaches for the integration of heterogeneous bio-molecular data. BMC Bioinformatics. 2009; 10(SUPPL. 12):7. \n                    https:\/\/doi.org\/10.1186\/1471-2105-10-S12-S7\n                    \n                  .","DOI":"10.1186\/1471-2105-10-S12-S7"},{"issue":"12","key":"2959_CR4","doi-asserted-by":"publisher","first-page":"1057","DOI":"10.1089\/cmb.2014.0110","volume":"22","author":"Marco Frasca","year":"2015","unstructured":"Frasca M, Bertoni A, Valentini G. UNIPred: Unbalance-aware Network Integration and Prediction of Protein Functions. J Comput Biol. 2015; 22(12):1057\u201374. \n                    https:\/\/doi.org\/10.1089\/cmb.2014.0110\n                    \n                  .","journal-title":"Journal of Computational Biology"},{"key":"2959_CR5","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1093\/nar\/gks1050","volume":"41","author":"Gene Ontology Consortium","year":"2013","unstructured":"Gene Ontology Consortium. Gene Ontology annotations and resources. Nucleic Acids Res. 2013; 41:530\u20135.","journal-title":"Nucleic Acids Res"},{"key":"2959_CR6","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.neunet.2013.01.021","volume":"43","author":"Marco Frasca","year":"2013","unstructured":"Frasca M, Bertoni A, Re M, Valentini G. A neural network algorithm for semi-supervised node label learning from unbalanced data. Neural Netw. 2013; 43:84\u201398. \n                    https:\/\/doi.org\/10.1016\/j.neunet.2013.01.021\n                    \n                  .","journal-title":"Neural Networks"},{"issue":"14","key":"2959_CR7","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1093\/bioinformatics\/btq262","volume":"26","author":"S Mostafavi","year":"2010","unstructured":"Mostafavi S, Morris Q. Fast integration of heterogeneous data sources for predicting gene function with limited annotation. Bioinformatics. 2010; 26(14):1759\u201365.","journal-title":"Bioinformatics"},{"key":"2959_CR8","unstructured":"Zhu X, Ghahramani Z, Lafferty J. Semi-supervised learning using gaussian fields and harmonic functions. In: Proceedings of the Twentieth International Conference on International Conference on Machine Learning, ICML\u201903. Washington: AAAI Press: 2003. p. 912\u20139. \n                    http:\/\/dl.acm.org\/citation.cfm?id=3041838.3041953\n                    \n                  ."},{"key":"2959_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/gb-2008-9-s1-s2","volume":"9","author":"L Pena-Castillo","year":"2008","unstructured":"Pena-Castillo L, Tasan M, Myers C, et al. A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. Genome Biol. 2008; 9:1.","journal-title":"Genome Biol"},{"key":"2959_CR10","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1016\/j.neucom.2015.11.096","volume":"237","author":"Marco Frasca","year":"2017","unstructured":"Frasca M, Valentini G. COSNet: An R package for label prediction in unbalanced biological networks. Neurocomputing. 2017; 237:397\u2013400. \n                    https:\/\/doi.org\/10.1016\/j.neucom.2015.11.096\n                    \n                  .","journal-title":"Neurocomputing"},{"key":"2959_CR11","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/978-3-642-23780-5_24","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"Alberto Bertoni","year":"2011","unstructured":"Bertoni A, Frasca M, Valentini G. COSNet: a cost sensitive neural network for semi-supervised learning in graphs. In: ECML. Athens: Springer: 2011. p. 219\u201334. \n                    https:\/\/doi.org\/10.1007\/978-3-642-23780-5_24\n                    \n                  ."},{"key":"2959_CR12","unstructured":"GeneMANIA server. 2010. \n                    https:\/\/genemania.org\n                    \n                  ."},{"issue":"Database","key":"2959_CR13","doi-asserted-by":"publisher","first-page":"D885","DOI":"10.1093\/nar\/gkn764","volume":"37","author":"T. Barrett","year":"2009","unstructured":"Barrett T, Troup DB, Wilhite SE, Ledoux P, Rudnev D, Evangelista C, Kim IF, Soboleva A, Tomashevsky M, Marshall KA, Phillippy KH, Sherman PM, Muertter RN, Edgar R. Ncbi geo: archive for high-throughput functional genomic data. Nucleic Acids Res. 2009; 37(suppl _1):885\u201390. \n                    https:\/\/doi.org\/10.1093\/nar\/gkn764\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"key":"2959_CR14","doi-asserted-by":"crossref","unstructured":"Negi S, Pandey S, et al. LocSigDB: a database of protein localization signals. Database (Oxford). 2015;2015(bav003).","DOI":"10.1093\/database\/bav003"},{"issue":"suppl_1","key":"2959_CR15","doi-asserted-by":"publisher","first-page":"D674","DOI":"10.1093\/nar\/gkn653","volume":"37","author":"Carl F. Schaefer","year":"2008","unstructured":"Schaefer CF, Anthony K, Krupa S, Buchoff J, Day M, Hannay T, Buetow KH. Pid: the pathway interaction database. Nucleic Acids Res. 2009; 37(suppl _1):674\u20139. \n                    https:\/\/doi.org\/10.1093\/nar\/gkn653\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"D1","key":"2959_CR16","doi-asserted-by":"publisher","first-page":"D369","DOI":"10.1093\/nar\/gkw1102","volume":"45","author":"Andrew Chatr-aryamontri","year":"2016","unstructured":"Chatr-aryamontri A, Oughtred R, Boucher L, Rust J, Chang C, Kolas NK, O\u2019Donnell L, Oster S, Theesfeld C, Sellam A, Stark C, Breitkreutz B-J, Dolinski K, Tyers M. The biogrid interaction database: 2017 update. Nucleic Acids Res. 2017; 45(D1):369\u201379. \n                    https:\/\/doi.org\/10.1093\/nar\/gkw1102\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"suppl_1","key":"2959_CR17","doi-asserted-by":"publisher","first-page":"D532","DOI":"10.1093\/nar\/gkp983","volume":"38","author":"Arnaud Ceol","year":"2009","unstructured":"Ceol A, Chatr Aryamontri A, Licata L, Peluso D, Briganti L, Perfetto L, Castagnoli L, Cesareni G. Mint, the molecular interaction database: 2009 update. Nucleic Acids Res. 2010; 38(suppl _1):532\u20139. \n                    https:\/\/doi.org\/10.1093\/nar\/gkp983\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"D1","key":"2959_CR18","doi-asserted-by":"publisher","first-page":"D841","DOI":"10.1093\/nar\/gkr1088","volume":"40","author":"S. Kerrien","year":"2011","unstructured":"Kerrien S, Aranda B, Breuza L, Bridge A, Broackes-Carter F, Chen C, Duesbury M, Dumousseau M, Feuermann M, Hinz U, Jandrasits C, Jimenez RC, Khadake J, Mahadevan U, Masson P, Pedruzzi I, Pfeiffenberger E, Porras P, Raghunath A, Roechert B, Orchard S, Hermjakob H. The intact molecular interaction database in 2012. Nucleic Acids Res. 2012; 40(D1):841\u20136. \n                    https:\/\/doi.org\/10.1093\/nar\/gkr1088\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"D1","key":"2959_CR19","doi-asserted-by":"publisher","first-page":"D279","DOI":"10.1093\/nar\/gkv1344","volume":"44","author":"Robert D. Finn","year":"2015","unstructured":"Finn RD, Coggill P, Eberhardt RY, Eddy SR, Mistry J, Mitchell AL, Potter SC, Punta M, Qureshi M, Sangrador-Vegas A, Salazar GA, Tate J, Bateman A. The pfam protein families database: towards a more sustainable future. Nucleic Acids Res. 2016; 44(D1):279\u201385. \n                    https:\/\/doi.org\/10.1093\/nar\/gkv1344\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"D1","key":"2959_CR20","doi-asserted-by":"publisher","first-page":"D190","DOI":"10.1093\/nar\/gkw1107","volume":"45","author":"Robert D. Finn","year":"2016","unstructured":"Finn RD, Attwood TK, et al. Interpro in 2017\u2014beyond protein family and domain annotations. Nucleic Acids Res. 2017; 45(D1):190\u20139. \n                    https:\/\/doi.org\/10.1093\/nar\/gkw1107\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"D1","key":"2959_CR21","doi-asserted-by":"publisher","first-page":"D447","DOI":"10.1093\/nar\/gku1003","volume":"43","author":"Damian Szklarczyk","year":"2014","unstructured":"Szklarczyk D, et al. String v10: protein\u2013protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 2015; 43(D1):447\u201352. \n                    https:\/\/doi.org\/10.1093\/nar\/gku1003\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"key":"2959_CR22","unstructured":"GO repository. 2000. \n                    https:\/\/www.ebi.ac.uk\/GOA\n                    \n                  . (periodically updated)."},{"key":"2959_CR23","doi-asserted-by":"publisher","unstructured":"Frasca M, Pavesi G. A neural network based algorithm for gene expression prediction from chromatin structure. In: International Joint Conference on Neural Networks (IJCNN). Dallas: IEEE: 2013. p. 1\u20138. \n                    https:\/\/doi.org\/10.1109\/IJCNN.2013.6706954\n                    \n                  .","DOI":"10.1109\/IJCNN.2013.6706954"},{"key":"2959_CR24","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.neucom.2015.04.007","volume":"162","author":"Marco Frasca","year":"2015","unstructured":"Frasca M. Automated gene function prediction through gene multifunctionality in biological networks. Neurocomputing. 2015; 162(0):48\u201356. \n                    https:\/\/doi.org\/10.1016\/j.neucom.2015.04.007\n                    \n                  .","journal-title":"Neurocomputing"},{"issue":"7","key":"2959_CR25","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1016\/j.ins.2008.11.017","volume":"179","author":"Ugur Dogrusoz","year":"2009","unstructured":"Dogrusoz U, Giral E, Cetintas A, Civril A, Demir E. A layout algorithm for undirected compound graphs. Inf Sci. 2009; 179(7):980\u201394. \n                    https:\/\/doi.org\/10.1016\/j.ins.2008.11.017\n                    \n                  .","journal-title":"Information Sciences"},{"issue":"2","key":"2959_CR26","doi-asserted-by":"publisher","first-page":"e17258","DOI":"10.1371\/journal.pone.0017258","volume":"6","author":"Jesse Gillis","year":"2011","unstructured":"Gillis J, Pavlidis P. The impact of multifunctional genes on \"guilt by association\" analysis. PLoS ONE. 2011; 6(2):1\u201316. \n                    https:\/\/doi.org\/10.1371\/journal.pone.0017258\n                    \n                  .","journal-title":"PLoS ONE"},{"issue":"W1","key":"2959_CR27","doi-asserted-by":"publisher","first-page":"W466","DOI":"10.1093\/nar\/gks489","volume":"40","author":"Mark N. Wass","year":"2012","unstructured":"Wass MN, Barton G, Sternberg MJE. Combfunc: predicting protein function using heterogeneous data sources. Nucleic Acids Res. 2012; 40(W1):466\u201370. \n                    https:\/\/doi.org\/10.1093\/nar\/gks489\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"W1","key":"2959_CR28","doi-asserted-by":"publisher","first-page":"W134","DOI":"10.1093\/nar\/gkv523","volume":"43","author":"Damiano Piovesan","year":"2015","unstructured":"Piovesan D, Giollo M, Leonardi E, Ferrari C, Tosatto SCE. Inga: protein function prediction combining interaction networks, domain assignments and sequence similarity. Nucleic Acids Res. 2015; 43(W1):134\u201340. \n                    https:\/\/doi.org\/10.1093\/nar\/gkv523\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"key":"2959_CR29","doi-asserted-by":"publisher","unstructured":"Kao H-L, Gunsalus KC. Browsing Multidimensional Molecular Networks with the Generic Network Browser (N-Browse). River St., Hoboken: John Wiley and Sons, Inc.; 2002. \n                    https:\/\/doi.org\/10.1002\/0471250953.bi0911s23\n                    \n                  .","DOI":"10.1002\/0471250953.bi0911s23"},{"issue":"W1","key":"2959_CR30","doi-asserted-by":"publisher","first-page":"W141","DOI":"10.1093\/nar\/gkv461","volume":"43","author":"Sayed M. Sahraeian","year":"2015","unstructured":"Sahraeian SM, Luo KR, Brenner SE. Sifter search: a web server for accurate phylogeny-based protein function prediction. Nucleic Acids Res. 2015; 43(W1):141\u20137. \n                    https:\/\/doi.org\/10.1093\/nar\/gkv461\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"D1","key":"2959_CR31","doi-asserted-by":"publisher","first-page":"D848","DOI":"10.1093\/nar\/gkv1155","volume":"44","author":"Eiru Kim","year":"2015","unstructured":"Kim E, Hwang S, Kim H, Shim H, Kang B, Yang S, Shim JH, Shin SY, Marcotte EM, Lee I. Mousenet v2: a database of gene networks for studying the laboratory mouse and eight other model vertebrates. Nucleic Acids Res. 2016; 44(D1):848\u201354. \n                    https:\/\/doi.org\/10.1093\/nar\/gkv1155\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"W1","key":"2959_CR32","doi-asserted-by":"publisher","first-page":"W128","DOI":"10.1093\/nar\/gkv486","volume":"43","author":"Aaron K. Wong","year":"2015","unstructured":"Wong AK, Krishnan A, Yao V, Tadych A, Troyanskaya OG. Imp 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Res. 2015; 43(W1):128\u201333. \n                    https:\/\/doi.org\/10.1093\/nar\/gkv486\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"suppl_2","key":"2959_CR33","doi-asserted-by":"publisher","first-page":"W214","DOI":"10.1093\/nar\/gkq537","volume":"38","author":"David Warde-Farley","year":"2010","unstructured":"Warde-Farley, et al. The genemania prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res. 2010; 38(suppl 2):214\u201320. \n                    https:\/\/doi.org\/10.1093\/nar\/gkq537\n                    \n                  .","journal-title":"Nucleic Acids Research"},{"issue":"9","key":"2959_CR34","doi-asserted-by":"publisher","first-page":"e1000165","DOI":"10.1371\/journal.pcbi.1000165","volume":"4","author":"Yuanfang Guan","year":"2008","unstructured":"Guan Y, Myers CL, Lu R, Lemischka IR, Bult CJ, Troyanskaya OG. A genomewide functional network for the laboratory mouse. PLoS Comput Biol. 2008; 4(9):1\u201315. \n                    https:\/\/doi.org\/10.1371\/journal.pcbi.1000165\n                    \n                  .","journal-title":"PLoS Computational Biology"},{"key":"2959_CR35","doi-asserted-by":"publisher","unstructured":"Perlasca P, Valentini G, Frasca M, Mesiti M. Multi-species Protein Function Prediction: Towards Web-based Visual Analytics: 2016. p. 489\u201393. \n                    https:\/\/doi.org\/10.1145\/3011141.3011222\n                    \n                  .","DOI":"10.1145\/3011141.3011222"},{"key":"2959_CR36","doi-asserted-by":"publisher","unstructured":"Comi P, Crosta PS, Beccari M, Paglierani P, Grossi G, Pedersini F, Petrini A. Hardware-accelerated high-resolution video coding in virtual network functions. In: 2016 European Conference on Networks and Communications (EuCNC): 2016. p. 32\u201336. \n                    https:\/\/doi.org\/10.1109\/EuCNC.2016.7560999\n                    \n                  .","DOI":"10.1109\/EuCNC.2016.7560999"},{"key":"2959_CR37","doi-asserted-by":"publisher","unstructured":"Mesiti M. Mergegraphs: a web-based system for merging heterogeneous big graphs. In: Proc. of the 17th Int\u2019l Conf. on Information Integration and Web-based Applications & Services, iiWAS 2015, Brussels, Belgium, December 11-13, 2015: 2015. p. 1\u20131110. \n                    https:\/\/doi.org\/10.1145\/2837185.2837211\n                    \n                  .","DOI":"10.1145\/2837185.2837211"},{"key":"2959_CR38","unstructured":"OncoPPi network. \n                    https:\/\/www.ebi.ac.uk\/biostudies\/studies\/S-EPMC5316855?xr=true\n                    \n                  ."},{"key":"2959_CR39","unstructured":"UNIPredWeb scripts. \n                    https:\/\/homes.di.unimi.it\/notaro\/UniPredWeb\/\n                    \n                  ."},{"issue":"1","key":"2959_CR40","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/1479-5876-8-86","volume":"8","author":"M\u00f3nica Castro","year":"2010","unstructured":"Castro M, Grau L, Puerta P, Gimenez L, Venditti J, Quadrelli S, S\u00e1nchez-Carbayo M.Multiplexed methylation profiles of tumor suppressor genes and clinical outcome in lung cancer. J Transl Med. 2010; 8(1):86. \n                    https:\/\/doi.org\/10.1186\/1479-5876-8-86\n                    \n                  .","journal-title":"Journal of Translational Medicine"},{"key":"2959_CR41","doi-asserted-by":"publisher","unstructured":"Pan S-H, Hsu YL, Hung P-F, Wang C-J, Wang C-C. Abstract 1431: Id4 inhibits cancer metastasis through emt regulation in lung cancer. Cancer Res. 2015; 75(15 Supplement):1431. \n                    https:\/\/doi.org\/10.1158\/1538-7445.AM2015-1431\n                    \n                  . \n                    http:\/\/cancerres.aacrjournals.org\/content\n                    \n                  .","DOI":"10.1158\/1538-7445.AM2015-1431"},{"issue":"1","key":"2959_CR42","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1186\/2045-3701-1-42","volume":"1","author":"Douglas A Chapnick","year":"2011","unstructured":"Chapnick D, Warner L, Bernet J, Rao T, Liu X. Partners in crime: The tgf \u03b2 and mapk pathways in cancer progression. Cell Biosci. 2011; 1:42. \n                    https:\/\/doi.org\/10.1186\/2045-3701-1-42\n                    \n                  .","journal-title":"Cell & Bioscience"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-019-2959-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12859-019-2959-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-019-2959-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T23:11:48Z","timestamp":1597273908000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-019-2959-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,14]]},"references-count":42,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["2959"],"URL":"https:\/\/doi.org\/10.1186\/s12859-019-2959-2","relation":{},"ISSN":["1471-2105"],"issn-type":[{"type":"electronic","value":"1471-2105"}],"subject":[],"published":{"date-parts":[[2019,8,14]]},"assertion":[{"value":"8 March 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"422"}}