{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T05:39:04Z","timestamp":1759815544206},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"S8","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"tdm","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 Syst Biol"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s12918-018-0647-x","type":"journal-article","created":{"date-parts":[[2018,12,21]],"date-time":"2018-12-21T08:54:08Z","timestamp":1545382448000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Prediction of protein self-interactions using stacked long short-term memory from protein sequences information"],"prefix":"10.1186","volume":"12","author":[{"given":"Yan-Bin","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhu-Hong","family":"You","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong-Hai","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhan-Heng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,21]]},"reference":[{"issue":"11","key":"647_CR1","doi-asserted-by":"publisher","first-page":"3629","DOI":"10.1093\/nar\/gki678","volume":"33","author":"I Ispolatov","year":"2005","unstructured":"Ispolatov I, Yuryev A, Mazo I, Maslov S. Binding properties and evolution of homodimers in protein\u2013protein interaction networks. Nucleic Acids Res. 2005;33(11):3629\u201335.","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"647_CR2","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1186\/1471-2407-14-431","volume":"14","author":"HK Park","year":"2014","unstructured":"Park HK, Lee JE, Lim J, Jo DE, Park SA, Suh PG, Kang BH. Combination treatment with doxorubicin and gamitrinib synergistically augments anticancer activity through enhanced activation of Bim. BMC Cancer. 2014;14(1):431.","journal-title":"BMC Cancer"},{"issue":"28","key":"647_CR3","doi-asserted-by":"publisher","first-page":"11594","DOI":"10.1073\/pnas.0905349106","volume":"106","author":"P Katsamba","year":"2009","unstructured":"Katsamba P, Carroll K, Ahlsen G, Bahna F, Vendome J, Posy S, Rajebhosale M, Price S, Jessell TM, Ben-Shaul A. Linking molecular affinity and cellular specificity in cadherin-mediated adhesion. Proc Natl Acad Sci. 2009;106(28):11594.","journal-title":"Proc Natl Acad Sci"},{"issue":"15","key":"647_CR4","doi-asserted-by":"publisher","first-page":"15405","DOI":"10.1074\/jbc.M414440200","volume":"280","author":"L Baisamy","year":"2005","unstructured":"Baisamy L, Jurisch N, Diviani D. Leucine zipper-mediated homo-oligomerization regulates the rho-GEF activity of AKAP-Lbc. J Biol Chem. 2005;280(15):15405\u201312.","journal-title":"J Biol Chem"},{"issue":"10","key":"647_CR5","doi-asserted-by":"publisher","first-page":"2060","DOI":"10.1002\/pro.218","volume":"18","author":"R Koike","year":"2009","unstructured":"Koike R, Kidera A, Ota M. Alteration of oligomeric state and domain architecture is essential for functional transformation between transferase and hydrolase with the same scaffold. Protein Sci. 2009;18(10):2060\u20136.","journal-title":"Protein Sci"},{"issue":"1","key":"647_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-10-1","volume":"10","author":"Z Nazar","year":"2009","unstructured":"Nazar Z, Sanja LM, Wassim EH, Piers C. Protein-protein interaction based on pairwise similarity. BMC Bioinformatics. 2009;10(1):1\u201312.","journal-title":"BMC Bioinformatics"},{"issue":"4","key":"647_CR7","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.ygeno.2013.05.006","volume":"102","author":"J Zahiri","year":"2013","unstructured":"Zahiri J, Yaghoubi O, Mohammad-Noori M, Ebrahimpour R, Masoudi-Nejad A. PPIevo: protein-protein interaction prediction from PSSM based evolutionary information. Genomics. 2013;102(4):237\u201342.","journal-title":"Genomics"},{"issue":"8","key":"647_CR8","first-page":"1","volume":"14","author":"ZH You","year":"2013","unstructured":"You ZH, Lei YK, Zhu L, Xia J, Wang B. Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis. BMC Bioinformatics. 2013;14(8):1\u201311.","journal-title":"BMC Bioinformatics"},{"issue":"3","key":"647_CR9","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s00726-009-0295-y","volume":"38","author":"MG Shi","year":"2010","unstructured":"Shi MG, Xia JF, Li XL, Huang D. Predicting protein\u2013protein interactions from sequence using correlation coefficient and high-quality interaction dataset. Amino Acids. 2010;38(3):891.","journal-title":"Amino Acids"},{"issue":"6","key":"647_CR10","doi-asserted-by":"publisher","first-page":"1689","DOI":"10.1074\/mcp.M112.021790","volume":"12","author":"Z Liu","year":"2013","unstructured":"Liu Z, Guo F, Zhang J, Wang J, Lu L, Li D, He F. Proteome-wide prediction of self-interacting proteins based on multiple properties. Mol Cell Proteomics. 2013;12(6):1689.","journal-title":"Mol Cell Proteomics"},{"issue":"Database issue","key":"647_CR11","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1093\/nar\/gku989","volume":"43","author":"UP Consortium","year":"2015","unstructured":"Consortium UP. UniProt: a hub for protein information. Nucleic Acids Res. 2015;43(Database issue):204\u201312.","journal-title":"Nucleic Acids Res"},{"issue":"Database issue","key":"647_CR12","first-page":"D470","volume":"43","author":"A Chatr-Aryamontri","year":"2011","unstructured":"Chatr-Aryamontri A, Breitkreutz BJ, Oughtred R, Boucher L, Heinicke S, Chen D, Stark C, Breitkreutz A, Kolas N, O'Donnell L. The BioGRID interaction database: 2015 update. Nucleic Acids Res. 2011;43(Database issue):D470.","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"647_CR13","first-page":"D449","volume":"32","author":"I Xenarios","year":"2000","unstructured":"Xenarios I, Rice DW, Salwinski L, Baron MK, Marcotte EM, Eisenberg D. DIP: the database of interacting proteins: 2001 update. Nucleic Acids Res. 2000;32(1):D449.","journal-title":"Nucleic Acids Res"},{"key":"647_CR14","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1093\/nar\/gkt1115","volume":"42","author":"S Orchard","year":"2014","unstructured":"Orchard S, Ammari M, Aranda B, Breuza L, Briganti L, Broackes-Carter F, Campbell NH, Chavali G, Chen C, Del-Toro N. The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases. Nucleic Acids Res. 2014;42:358\u201363.","journal-title":"Nucleic Acids Res"},{"issue":"Database issue","key":"647_CR15","first-page":"321","volume":"43","author":"G Launay","year":"2014","unstructured":"Launay G, Salza R, Multedo D, Thierrymieg N, Ricardblum S. MatrixDB, the extracellular matrix interaction database: updated content, a new navigator and expanded functionalities. Nucleic Acids Res. 2014;43(Database issue):321\u20137.","journal-title":"Nucleic Acids Res"},{"issue":"Database issue","key":"647_CR16","doi-asserted-by":"publisher","first-page":"D1228","DOI":"10.1093\/nar\/gks1147","volume":"41","author":"K Breuer","year":"2013","unstructured":"Breuer K, Foroushani AK, Laird MR, Chen C, Sribnaia A, Lo R, Winsor GL, Hancock REW, Brinkman FSL, Lynn DJ. InnateDB: systems biology of innate immunity and beyond\u2014recent updates and continuing curation. Nucleic Acids Res. 2013;41(Database issue):D1228.","journal-title":"Nucleic Acids Res"},{"issue":"7","key":"647_CR17","doi-asserted-by":"publisher","first-page":"1655","DOI":"10.1007\/s00726-016-2226-z","volume":"48","author":"X Liu","year":"2016","unstructured":"Liu X, Yang S, Li C, Zhang Z, Song J. SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information. Amino Acids. 2016;48(7):1655.","journal-title":"Amino Acids"},{"issue":"2","key":"647_CR18","first-page":"211","volume":"5","author":"TL Bailey","year":"1998","unstructured":"Bailey TL, Gribskov M. Methods and statistics for combining motif match scores. Journal of computational biology a journal of computational. Mol Cell Biol. 1998;5(2):211\u201321.","journal-title":"Mol Cell Biol"},{"issue":"4","key":"647_CR19","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1093\/bioinformatics\/18.4.617","volume":"18","author":"M Delorenzi","year":"2002","unstructured":"Delorenzi M, Speed T. An HMM model for coiled-coil domains and a comparison with PSSM-based predictions. Bioinformatics. 2002;18(4):617\u201325.","journal-title":"Bioinformatics"},{"issue":"2","key":"647_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2015\/370756","volume":"2015","author":"Y Liang","year":"2015","unstructured":"Liang Y, Liu S, Zhang S. Prediction of protein structural classes for low-similarity sequences based on consensus sequence and segmented PSSM. Comput Math Methods Med. 2015;2015(2):1\u20139.","journal-title":"Comput Math Methods Med"},{"issue":"2","key":"647_CR21","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.gene.2014.10.037","volume":"554","author":"J Wang","year":"2015","unstructured":"Wang J, Wang C, Cao J, Liu X, Yao Y, Dai Q. Prediction of protein structural classes for low-similarity sequences using reduced PSSM and position-based secondary structural features. Gene. 2015;554(2):241\u20138.","journal-title":"Gene"},{"key":"647_CR22","doi-asserted-by":"crossref","unstructured":"Chen K, Kurgan L. Computational prediction of secondary and Supersecondary structures: Humana Press; 2013.","DOI":"10.1007\/978-1-62703-065-6_5"},{"issue":"1","key":"647_CR23","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/protein\/9.1.27","volume":"9","author":"K Tomii","year":"1996","unstructured":"Tomii K, Kanehisa M. Analysis of amino acid indices and mutation matrices for sequence comparison and structure prediction of proteins. Protein Eng. 1996;9(1):27.","journal-title":"Protein Eng"},{"issue":"3","key":"647_CR24","first-page":"403","volume":"215","author":"I Lobo","year":"2008","unstructured":"Lobo I. Basic local alignment search tool (BLAST). J Mol Biol. 2008;215(3):403\u201310.","journal-title":"J Mol Biol"},{"key":"647_CR25","first-page":"205","volume-title":"IEEE transactions on image processing a publication of the IEEE signal processing Society","author":"Z Chen","year":"2010","unstructured":"Chen Z, Sun SK. A Zernike moment phase-based descriptor for local image representation and matching. IEEE transactions on image processing a publication of the IEEE signal processing Society 2010, 19(1):205\u2013219."},{"issue":"3","key":"647_CR26","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1016\/S0031-3203(02)00091-2","volume":"36","author":"CW Chong","year":"2003","unstructured":"Chong CW, Raveendran P, Mukundan R. A comparative analysis of algorithms for fast computation of Zernike moments. Pattern Recogn. 2003;36(3):731\u201342.","journal-title":"Pattern Recogn"},{"key":"647_CR27","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1109\/MMSP.2001.962787","volume-title":"Multimedia Signal Processing, 2001 IEEE Fourth Workshop on: 2001","author":"M Farzam","year":"2001","unstructured":"Farzam M, Shirani S. A robust multimedia watermarking technique using Zernike transform. In: Multimedia Signal Processing, 2001 IEEE Fourth Workshop on: 2001; 2001. p. 529\u201334."},{"key":"647_CR28","doi-asserted-by":"crossref","unstructured":"Hse H, Newton AR. Sketched symbol recognition using Zernike moments. 2004;1:367\u201370.","DOI":"10.1109\/ICPR.2004.1334128"},{"key":"647_CR29","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1109\/CISP.2008.651","volume-title":"Image and Signal Processing, Congress on: 2008","author":"SK Hwang","year":"2008","unstructured":"Hwang SK, Billinghurst M, Kim WY. Local descriptor by Zernike moments for real-time Keypoint matching. In: Image and Signal Processing, Congress on: 2008; 2008. p. 781\u20135."},{"issue":"5","key":"647_CR30","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/34.55109","volume":"12","author":"A Khotanzad","year":"1990","unstructured":"Khotanzad A, Hong YH. Invariant image recognition by Zernike moments. IEEE Trans Pattern Analys Mach Intell. 1990;12(5):489\u201397.","journal-title":"IEEE Trans Pattern Analys Mach Intell"},{"issue":"1\u20132","key":"647_CR31","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/S0923-5965(00)00019-9","volume":"16","author":"WY Kim","year":"2000","unstructured":"Kim WY, Kim YS. Sig Proc Image Commun. 2000;16(1\u20132):95\u2013102.","journal-title":"Sig Proc Image Commun"},{"issue":"1","key":"647_CR32","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1109\/TSMCA.2008.2007988","volume":"39","author":"S Li","year":"2009","unstructured":"Li S, Lee MC, Pun CM. Complex Zernike moments features for shape-based image retrieval. IEEE Trans Syst Man Cybernetics Part A Syst Hum. 2009;39(1):227\u201337.","journal-title":"IEEE Trans Syst Man Cybernetics Part A Syst Hum"},{"issue":"12","key":"647_CR33","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1109\/34.735809","volume":"20","author":"SX Liao","year":"1998","unstructured":"Liao SX, Pawlak M. On the accuracy of Zernike moments for image analysis. IEEE Trans Pattern Analys Mach Intell. 1998;20(12):1358\u201364.","journal-title":"IEEE Trans Pattern Analys Mach Intell"},{"key":"647_CR34","volume-title":"A study of Zernike moment computing","author":"SX Liao","year":"2006","unstructured":"Liao SX, Pawlak M. A study of Zernike moment computing; 2006."},{"issue":"9","key":"647_CR35","doi-asserted-by":"publisher","first-page":"1433","DOI":"10.1016\/0031-3203(95)00011-N","volume":"28","author":"R Mukundan","year":"1995","unstructured":"Mukundan R, Ramakrishnan KR. Fast computation of Legendre and Zernike moments. Pattern Recogn. 1995;28(9):1433\u201342.","journal-title":"Pattern Recogn"},{"issue":"3","key":"647_CR36","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1364\/JOSA.66.000207","volume":"66","author":"RJ Noll","year":"1976","unstructured":"Noll RJ. Zernike polynomials and atmospheric turbulence. J Opt Soc Am. 1976;66(3):207\u201311 1917\u20131983.","journal-title":"J Opt Soc Am"},{"issue":"10","key":"647_CR37","doi-asserted-by":"publisher","first-page":"2105","DOI":"10.1364\/JOSAA.12.002105","volume":"12","author":"J Schwiegerling","year":"1995","unstructured":"Schwiegerling J, Greivenkamp JE, Miller JM. Representation of videokeratoscopic height data with Zernike polynomials. J Opt Soc Am A Opt Image Sci Vis. 1995;12(10):2105\u201313.","journal-title":"J Opt Soc Am A Opt Image Sci Vis"},{"issue":"233","key":"647_CR38","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.ins.2013.01.012","volume":"233","author":"C Singh","year":"2013","unstructured":"Singh C, Walia E, Upneja R. Accurate calculation of Zernike moments. Inf Sci. 2013;233(233):255\u201375.","journal-title":"Inf Sci"},{"issue":"5","key":"647_CR39","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/34.55109","volume":"12","author":"JL Turney","year":"1990","unstructured":"Turney JL, Mudge TN, Volz RA. Invariant image recognition by Zernike moments. IEEE Trans Pattern Analys Mach Intell. 1990;12(5):489\u201397.","journal-title":"IEEE Trans Pattern Analys Mach Intell"},{"issue":"9","key":"647_CR40","doi-asserted-by":"publisher","first-page":"1510","DOI":"10.1364\/AO.19.001510","volume":"19","author":"JY Wang","year":"1980","unstructured":"Wang JY, Silva DE. Wave-front interpretation with Zernike polynomials. Appl Opt. 1980;19(9):1510\u20138.","journal-title":"Appl Opt"},{"key":"647_CR41","first-page":"536","volume-title":"Conference on advances in neural information processing systems II: 1999","author":"S Mika","year":"1999","unstructured":"Mika S, Lkopf B, Smola A, Ller KR, Scholz M, Tsch G, Kernel PCA. de-noising in feature spaces. In: Conference on advances in neural information processing systems II: 1999; 1999. p. 536\u201342."},{"key":"647_CR42","doi-asserted-by":"crossref","unstructured":"Sak H, Senior A, Beaufays F. Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition. Com Sci. 2014:338\u201342.","DOI":"10.21437\/Interspeech.2014-80"},{"issue":"1","key":"647_CR43","first-page":"36","volume":"5","author":"KS Tai","year":"2015","unstructured":"Tai KS, Socher R, Manning CD. Improved semantic representations from tree-structured long short-term memory networks. Com Sci. 2015;5(1):36.","journal-title":"Com Sci"},{"issue":"2","key":"647_CR44","first-page":"321","volume":"37","author":"C Dyer","year":"2015","unstructured":"Dyer C, Ballesteros M, Ling W, Matthews A, Smith NA. Transition-based dependency parsing with stack long short-term memory. Com Sci. 2015;37(2):321\u201332.","journal-title":"Com Sci"},{"issue":"5","key":"647_CR45","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1109\/JSTSP.2010.2057200","volume":"4","author":"M Wollmer","year":"2010","unstructured":"Wollmer M, Schuller B, Eyben F, Rigoll G. Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening. IEEE J Selected Topics Signal Proc. 2010;4(5):867\u201381.","journal-title":"IEEE J Selected Topics Signal Proc"},{"key":"647_CR46","doi-asserted-by":"publisher","first-page":"4580","DOI":"10.1109\/ICASSP.2015.7178838","volume-title":"IEEE Int Conference on Acoustics, Speech and Signal Processing: 2015","author":"TN Sainath","year":"2015","unstructured":"Sainath TN, Vinyals O, Senior A, Sak H. Convolutional, long short-term memory, fully connected deep neural networks. In: IEEE Int Conference on Acoustics, Speech and Signal Processing: 2015; 2015. p. 4580\u20134."},{"issue":"1","key":"647_CR47","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava N, Hinton G, Krizhevsky A, Sutskever I, Salakhutdinov R. Dropout: a simple way tprevent neural networks from overfitting. J Mach Learn Res. 2014;15(1):1929\u201358.","journal-title":"J Mach Learn Res"},{"key":"647_CR48","doi-asserted-by":"publisher","first-page":"8609","DOI":"10.1109\/ICASSP.2013.6639346","volume-title":"IEEE International Conference on Acoustics, Speech and Signal Processing: 2013","author":"GE Dahl","year":"2013","unstructured":"Dahl GE, Sainath TN, Hinton GE. Improving deep neural networks for LVCSR using rectified linear units and dropout. In: IEEE International Conference on Acoustics, Speech and Signal Processing: 2013; 2013. p. 8609\u201313."},{"issue":"4","key":"647_CR49","first-page":"212","volume":"3","author":"GE Hinton","year":"2012","unstructured":"Hinton GE, Srivastava N, Krizhevsky A, Sutskever I, Salakhutdinov RR. Improving neural networks by preventing co-adaptation of feature detectors. Com Sci. 2012;3(4):212\u201323.","journal-title":"Com Sci"},{"issue":"1","key":"647_CR50","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","volume":"143","author":"JA Hanley","year":"1982","unstructured":"Hanley JA, Mcneil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143(1):29.","journal-title":"Radiology"},{"issue":"3","key":"647_CR51","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1109\/TKDE.2005.50","volume":"17","author":"J Huang","year":"2005","unstructured":"Huang J, Ling CX. Using AUC and accuracy in evaluating learning algorithms. IEEE Trans Knowledge Data Eng. 2005;17(3):299\u2013310.","journal-title":"IEEE Trans Knowledge Data Eng"},{"issue":"3","key":"647_CR52","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang CC, Lin CJ. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol. 2011;2(3):1\u201327.","journal-title":"ACM Trans Intell Syst Technol"}],"container-title":["BMC Systems Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12918-018-0647-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12918-018-0647-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12918-018-0647-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T22:41:12Z","timestamp":1662676872000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcsystbiol.biomedcentral.com\/articles\/10.1186\/s12918-018-0647-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":52,"journal-issue":{"issue":"S8","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["647"],"URL":"https:\/\/doi.org\/10.1186\/s12918-018-0647-x","relation":{},"ISSN":["1752-0509"],"issn-type":[{"value":"1752-0509","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12]]},"assertion":[{"value":"21 December 2018","order":1,"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 no conflicts of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"129"}}