{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:00:39Z","timestamp":1740099639594,"version":"3.37.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030464165"},{"type":"electronic","value":"9783030464172"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-46417-2_12","type":"book-chapter","created":{"date-parts":[[2020,4,28]],"date-time":"2020-04-28T05:16:48Z","timestamp":1588051008000},"page":"123-128","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Identifying Schistosoma mansoni Essential Protein Candidates Based on Machine Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8638-6538","authenticated-orcid":false,"given":"Francimary P.","family":"Garcia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8593-1506","authenticated-orcid":false,"given":"Gustavo Paiva","family":"Guedes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6257-2520","authenticated-orcid":false,"given":"Kele Teixeira","family":"Belloze","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,29]]},"reference":[{"issue":"13","key":"12_CR1","first-page":"0975","volume":"54","author":"R Arora","year":"2012","unstructured":"Arora, R.: Comparative analysis of classification algorithms on different datasets using weka. Int. J. Comput. Appl. 54(13), 0975\u20138887 (2012)","journal-title":"Int. J. Comput. Appl."},{"issue":"D1","key":"12_CR2","doi-asserted-by":"publisher","first-page":"D901","DOI":"10.1093\/nar\/gkr986","volume":"40","author":"WH Chen","year":"2011","unstructured":"Chen, W.H., Minguez, P., Lercher, M.J., Bork, P.: OGEE: an online gene essentiality database. Nucleic Acids Res. 40(D1), D901\u2013D906 (2011)","journal-title":"Nucleic Acids Res."},{"key":"12_CR3","volume-title":"Data Mining Practical Machine Learning Tools and Techniques","author":"E Frank","year":"2016","unstructured":"Frank, E., Hall, M.A., Witten, I.H.: The Weka Workbench. online appendix. In: Frank, E., Hall, M.A., Witten, I.H. (eds.) Data Mining Practical Machine Learning Tools and Techniques. Morgan Kaufmann, Cambridge (2016)"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Garcia, F.P., Belloze, K.T.: Integra\u00e7\u00e3o de dados na detec\u00e7\u00e3o de alvos para f\u00e1rmacos de schistosoma mansoni. In: Anais do XII Brazilian e-Science Workshop. SBC (2018)","DOI":"10.5753\/bresci.2018.3271"},{"issue":"D1","key":"12_CR5","doi-asserted-by":"publisher","first-page":"D802","DOI":"10.1093\/nar\/gkx1011","volume":"46","author":"PJ Kersey","year":"2017","unstructured":"Kersey, P.J., et al.: Ensembl genomes 2018: an integrated omics infrastructure for non-vertebrate species. Nucleic Acids Res. 46(D1), D802\u2013D808 (2017)","journal-title":"Nucleic Acids Res."},{"issue":"3","key":"12_CR6","doi-asserted-by":"publisher","first-page":"e0174638","DOI":"10.1371\/journal.pone.0174638","volume":"12","author":"X Liu","year":"2017","unstructured":"Liu, X., Wang, B.J., Xu, L., Tang, H.L., Xu, G.Q.: Selection of key sequence-based features for prediction of essential genes in 31 diverse bacterial species. PLoS ONE 12(3), e0174638 (2017)","journal-title":"PLoS ONE"},{"issue":"5","key":"12_CR7","first-page":"851","volume":"18","author":"S Min","year":"2017","unstructured":"Min, S., Lee, B., Yoon, S.: Deep learning in bioinformatics. Brief. Bioinf. 18(5), 851\u2013869 (2017)","journal-title":"Brief. Bioinf."},{"issue":"1","key":"12_CR8","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1093\/oxfordjournals.jbchem.a135454","volume":"99","author":"H Nakashima","year":"1986","unstructured":"Nakashima, H., Nishikawa, K., Ooi, T.: The folding type of a protein is relevant to the amino acid composition. J. Biochem. 99(1), 153\u2013162 (1986)","journal-title":"J. Biochem."},{"issue":"15","key":"12_CR9","doi-asserted-by":"publisher","first-page":"7075","DOI":"10.1021\/acs.jmedchem.5b02038","volume":"59","author":"BJ Neves","year":"2016","unstructured":"Neves, B.J., et al.: Discovery of new anti-schistosomal hits by integration of QSAR-based virtual screening and high content screening. J. Med. Chem. 59(15), 7075\u20137088 (2016)","journal-title":"J. Med. Chem."},{"key":"12_CR10","doi-asserted-by":"publisher","first-page":"2331","DOI":"10.3389\/fmicb.2017.02331","volume":"8","author":"C Peng","year":"2017","unstructured":"Peng, C., Lin, Y., Luo, H., Gao, F.: A comprehensive overview of online resources to identify and predict bacterial essential genes. Front. Microbiol. 8, 2331 (2017)","journal-title":"Front. Microbiol."},{"issue":"7","key":"12_CR11","first-page":"43","volume":"4","author":"G Sahoo","year":"2012","unstructured":"Sahoo, G., Kumar, Y.: Analysis of parametric & non parametric classifiers for classification technique using weka. Int. J. Inf. Technol. Comput. Sci. (IJITCS) 4(7), 43 (2012)","journal-title":"Int. J. Inf. Technol. Comput. Sci. (IJITCS)"},{"key":"12_CR12","unstructured":"WHO: Shistosomiasis (2019). \nhttp:\/\/www.who.int\/schistosomiasis\/en\/"},{"issue":"suppl\u20131","key":"12_CR13","doi-asserted-by":"publisher","first-page":"D271","DOI":"10.1093\/nar\/gkh024","volume":"32","author":"R Zhang","year":"2004","unstructured":"Zhang, R., Ou, H.Y., Zhang, C.T.: Deg: a database of essential genes. Nucleic Acids Res. 32(suppl\u20131), D271\u2013D272 (2004)","journal-title":"Nucleic Acids Res."},{"key":"12_CR14","first-page":"75","volume":"7","author":"X Zhang","year":"2016","unstructured":"Zhang, X., Acencio, M.L., Lemke, N.: Predicting essential genes and proteins based on machine learning and network topological features: a comprehensive review. Front. Physiol. 7, 75 (2016)","journal-title":"Front. Physiol."}],"container-title":["Lecture Notes in Computer Science","Advances in Bioinformatics and Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-46417-2_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,28]],"date-time":"2020-04-28T05:25:20Z","timestamp":1588051520000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-46417-2_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030464165","9783030464172"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-46417-2_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BSB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazilian Symposium on Bioinformatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fortaleza","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wob2019a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bsb.sbc.org.br\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}