{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T00:10:26Z","timestamp":1711411826878},"reference-count":37,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2010,10,1]],"date-time":"2010-10-01T00:00:00Z","timestamp":1285891200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Micron"],"published-print":{"date-parts":[[2010,10]]},"DOI":"10.1016\/j.micron.2010.04.002","type":"journal-article","created":{"date-parts":[[2010,4,13]],"date-time":"2010-04-13T09:20:29Z","timestamp":1271150429000},"page":"882-885","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of melatonin excretion patterns in the rat exposed to ELF magnetic fields based on support vector machine and linear discriminant analysis"],"prefix":"10.1016","volume":"41","author":[{"given":"Samad","family":"Jahandideh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Parviz","family":"Abdolmaleki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.micron.2010.04.002_bib1","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1080\/15298669391354540","article-title":"Biological effects of extremely low-frequency electromagnetic fields: in vivo studies","volume":"54","author":"Anderson","year":"1993","journal-title":"American Industrial Hygiene Association Journal"},{"key":"10.1016\/j.micron.2010.04.002_bib2","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/S0097-8485(01)00113-9","article-title":"Prediction of protein structural classes by support vector machines","volume":"26","author":"Cai","year":"2002","journal-title":"Computers & Chemistry"},{"key":"10.1016\/j.micron.2010.04.002_bib3","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/S0196-9781(01)00597-6","article-title":"Support vector machines for predicting the specificity of GalNAc-transferase","volume":"23","author":"Cai","year":"2002","journal-title":"Peptides"},{"key":"10.1016\/j.micron.2010.04.002_bib4","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1002\/jcc.10017","article-title":"Support vector machines for predicting HIV protease cleavage sites in protein","volume":"23","author":"Cai","year":"2002","journal-title":"Journal of Computational Chemistry"},{"key":"10.1016\/j.micron.2010.04.002_bib5","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1002\/psc.401","article-title":"Support vector machines for the classification and prediction of beta-turn types","volume":"8","author":"Cai","year":"2002","journal-title":"Journal of Peptide Science"},{"key":"10.1016\/j.micron.2010.04.002_bib6","doi-asserted-by":"crossref","first-page":"3257","DOI":"10.1016\/S0006-3495(03)70050-2","article-title":"Support vector machines for predicting membrane protein types by using functional domain composition","volume":"84","author":"Cai","year":"2003","journal-title":"Biophysical Journal"},{"key":"10.1016\/j.micron.2010.04.002_bib7","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/S0196-9781(02)00289-9","article-title":"Support vector machines for prediction of protein signal sequences and their cleavage sites","volume":"24","author":"Cai","year":"2003","journal-title":"Peptides"},{"key":"10.1016\/j.micron.2010.04.002_bib8","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/S0196-9781(03)00100-1","article-title":"Support vector machine for predicting alpha-turn types","volume":"24","author":"Cai","year":"2003","journal-title":"Peptides"},{"key":"10.1016\/j.micron.2010.04.002_bib9","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.jtbi.2003.08.015","article-title":"Application of SVM to predict membrane protein types","volume":"226","author":"Cai","year":"2004","journal-title":"Journal of Theoretical Biology"},{"key":"10.1016\/j.micron.2010.04.002_bib10","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/j.jtbi.2004.02.019","article-title":"Identify catalytic triads of serine hydrolases by support vector machines","volume":"228","author":"Cai","year":"2004","journal-title":"Journal of Theoretical Biology"},{"key":"10.1016\/j.micron.2010.04.002_bib11","doi-asserted-by":"crossref","first-page":"27","DOI":"10.2174\/092986609787049420","article-title":"Prediction of protein secondary structure content by using the concept of Chou's pseudo amino acid composition and support vector machine","volume":"16","author":"Chen","year":"2009","journal-title":"Protein & Peptide Letters"},{"key":"10.1016\/j.micron.2010.04.002_bib12","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1007\/s00726-006-0485-9","article-title":"Prediction of linear B-cell epitopes using amino acid pair antigenicity scale","volume":"33","author":"Chen","year":"2007","journal-title":"Amino Acids"},{"key":"10.1016\/j.micron.2010.04.002_bib13","doi-asserted-by":"crossref","first-page":"45765","DOI":"10.1074\/jbc.M204161200","article-title":"Using functional domain composition and support vector machines for prediction of protein subcellular location","volume":"277","author":"Chou","year":"2002","journal-title":"Journal of Biological Chemistry"},{"key":"10.1016\/j.micron.2010.04.002_bib14","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1038\/nprot.2007.494","article-title":"Cell-PLoc: a package of web-servers for predicting subcellular localization of proteins in various organisms","volume":"3","author":"Chou","year":"2008","journal-title":"Nature Protocols"},{"key":"10.1016\/j.micron.2010.04.002_bib15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ab.2007.07.006","article-title":"Review: Recent progresses in protein subcellular location prediction","volume":"370","author":"Chou","year":"2007","journal-title":"Analytical Biochemistry"},{"key":"10.1016\/j.micron.2010.04.002_bib16","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1002\/prot.1035","article-title":"Prediction of protein cellular attributes using pseudo amino acid composition","volume":"43","author":"Chou","year":"2001","journal-title":"Proteins: Structure, Function and Genetics"},{"key":"10.1016\/j.micron.2010.04.002_bib17","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1023\/A:1020696810938","article-title":"Using pair-coupled amino acid composition to predict protein secondary structure content","volume":"18","author":"Chou","year":"1999","journal-title":"Journal of Protein Chemistry"},{"key":"10.1016\/j.micron.2010.04.002_bib18","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1002\/prot.340210406","article-title":"A novel approach to predicting protein structural classes in a (20-1)-d amino acid composition space","volume":"21","author":"Chou","year":"1995","journal-title":"Proteins: Structure, Function and Genetics"},{"key":"10.1016\/j.micron.2010.04.002_bib19","doi-asserted-by":"crossref","first-page":"275","DOI":"10.3109\/10409239509083488","article-title":"Review: Prediction of protein structural classes","volume":"30","author":"Chou","year":"1995","journal-title":"Critical Reviews in Biochemistry and Molecular Biology"},{"key":"10.1016\/j.micron.2010.04.002_bib20","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1080\/15298669391354531","article-title":"A review of in vitro studies: low-frequency electromagnetic fields","volume":"54","author":"Cleary","year":"1993","journal-title":"American Industrial Hygiene Association Journal"},{"key":"10.1016\/j.micron.2010.04.002_bib21","doi-asserted-by":"crossref","first-page":"1887","DOI":"10.1016\/j.patrec.2008.06.007","article-title":"Using Chou's pseudo amino acid composition to predict subcellular localization of apoptosis proteins: an approach with immune genetic algorithm-based ensemble classifier","volume":"29","author":"Ding","year":"2008","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/j.micron.2010.04.002_bib22","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1096\/fasebj.7.2.8440406","article-title":"Electromagnetic field interactions with biological systems","volume":"7","author":"Frey","year":"1993","journal-title":"FASEB Journal"},{"key":"10.1016\/j.micron.2010.04.002_bib23","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/0303-2647(95)01555-Y","article-title":"Magnetic field effects on biomolecules, cells, and living organisms","volume":"36","author":"Hong","year":"1995","journal-title":"Biosystems"},{"key":"10.1016\/j.micron.2010.04.002_bib24","unstructured":"International Agency for Research on Cancer (IARC), 2002. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans. Vol. 80. Non-ionizing radiation, Part 1: Static and extremely low-frequency (ELF) electric and magnetic fields. International Agency for Research on Cancer, Lyon. Available at the Internet site: http:\/\/monographs.iarc.fr\/."},{"key":"10.1016\/j.micron.2010.04.002_bib25","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1002\/bem.20541","article-title":"Comparing performances of logistic regression and neural networks for predicting melatonin excretion patterns in the rat exposed to ELF magnetic fields","volume":"31","author":"Jahandideh","year":"2010","journal-title":"Bioelectromagnetics"},{"key":"10.1016\/j.micron.2010.04.002_bib26","doi-asserted-by":"crossref","first-page":"392","DOI":"10.2174\/092986608784246443","article-title":"Using the concept of Chou's pseudo amino acid composition to predict apoptosis proteins subcellular location: an approach by approximate entropy","volume":"15","author":"Jiang","year":"2008","journal-title":"Protein & Peptide Letters"},{"key":"10.1016\/j.micron.2010.04.002_bib27","doi-asserted-by":"crossref","first-page":"739","DOI":"10.2174\/092986608785133681","article-title":"Predicting subcellular localization of mycobacterial proteins by using Chou's pseudo amino acid composition","volume":"15","author":"Lin","year":"2008","journal-title":"Protein & Peptide Letters"},{"key":"10.1016\/j.micron.2010.04.002_bib28","doi-asserted-by":"crossref","first-page":"612","DOI":"10.2174\/092986608784966930","article-title":"Predicting protein subcellular location using Chou's pseudo amino acid composition and improved hybrid approach","volume":"15","author":"Li","year":"2008","journal-title":"Protein & Peptide Letters"},{"key":"10.1016\/j.micron.2010.04.002_bib29","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1093\/protein\/12.12.1041","article-title":"Protein secondary structural content prediction","volume":"12","author":"Liu","year":"1999","journal-title":"Protein Engineering"},{"key":"10.1016\/j.micron.2010.04.002_bib30","series-title":"Documents of the NRPB. ELF Electromagnetic Fields and the Risk of Cancer","author":"National Radiological Protection Board (NRPB)","year":"2001"},{"key":"10.1016\/j.micron.2010.04.002_bib31","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.aca.2006.05.027","article-title":"Classification study of skin sensitizers based on support vector machine and linear discriminant analysis","volume":"572","author":"Ren","year":"2006","journal-title":"Analytica Chimica Acta"},{"key":"10.1016\/j.micron.2010.04.002_bib32","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1002\/(SICI)1521-186X(1999)20:3<133::AID-BEM1>3.0.CO;2-O","article-title":"Interaction of static and extremely low frequency electric and magnetic fields with living systems: Health effects and research needs","volume":"20","author":"Repacholi","year":"1999","journal-title":"Bioelectromagnetics"},{"key":"10.1016\/j.micron.2010.04.002_bib33","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/0969-5931(95)00004-J","article-title":"FDI theory and foreign direct investment in the United States: a comparison of investors and non-investors","volume":"4","author":"Trevino","year":"1995","journal-title":"International Business Review"},{"key":"10.1016\/j.micron.2010.04.002_bib34","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"1995"},{"key":"10.1016\/j.micron.2010.04.002_bib35","series-title":"Statistical Learning Theory","author":"Vapnik","year":"1998"},{"key":"10.1016\/j.micron.2010.04.002_bib36","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.jtbi.2009.03.028","article-title":"Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach","volume":"259","author":"Zeng","year":"2009","journal-title":"Journal of Theoretical Biology"},{"key":"10.1016\/j.micron.2010.04.002_bib37","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.jtbi.2008.03.015","article-title":"Predicting the cofactors of oxidoreductases based on amino acid composition distribution and Chou's amphiphilic pseudo amino acid composition","volume":"253","author":"Zhang","year":"2008","journal-title":"Journal of Theoretical Biology"}],"container-title":["Micron"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0968432810000661?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0968432810000661?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T19:19:11Z","timestamp":1711394351000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0968432810000661"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,10]]},"references-count":37,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2010,10]]}},"alternative-id":["S0968432810000661"],"URL":"https:\/\/doi.org\/10.1016\/j.micron.2010.04.002","relation":{},"ISSN":["0968-4328"],"issn-type":[{"value":"0968-4328","type":"print"}],"subject":[],"published":{"date-parts":[[2010,10]]}}}