{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T12:48:09Z","timestamp":1773751689175,"version":"3.50.1"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61003093"],"award-info":[{"award-number":["61003093"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["20110009"],"award-info":[{"award-number":["20110009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program of Shanghai Maritime University","award":["61003093"],"award-info":[{"award-number":["61003093"]}]},{"name":"Science and Technology Program of Shanghai Maritime University","award":["20110009"],"award-info":[{"award-number":["20110009"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>Among the six secretion systems identified in Gram-negative bacteria, the type III secretion system (T3SS) plays important roles in the disease development of pathogens. T3SS has attracted a great deal of research interests. However, the secretion mechanism has not been fully understood yet. Especially, the identification of effectors (secreted proteins) is an important and challenging task. This paper adopts machine learning methods to identify type III secreted effectors (T3SEs). We extract features from amino acid sequences and conduct feature reduction based on latent semantic information by using latent Dirichlet allocation model. The experimental results on<jats:italic>Pseudomonas syringae<\/jats:italic>data set demonstrate the good performance of the new methods.<\/jats:p>","DOI":"10.1155\/2012\/696190","type":"journal-article","created":{"date-parts":[[2012,9,12]],"date-time":"2012-09-12T02:44:41Z","timestamp":1347417881000},"page":"1-6","source":"Crossref","is-referenced-by-count":6,"title":["Identification of Novel Type III Effectors Using Latent Dirichlet Allocation"],"prefix":"10.1155","volume":"2012","author":[{"given":"Yang","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Information Engineering College, Shanghai Maritime University, 1550 Haigang Avenue, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1126\/science.284.5418.1322"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbamcr.2004.03.011"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.ppat.1000376"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btr021"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1094\/MPMI-19-1167"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2958.2005.04823.x"},{"issue":"1, article 442","key":"8","volume":"12","year":"2011","journal-title":"BMC Bioinformatics"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-11-S1-S47"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1126\/science.295.5560.1722"},{"issue":"4-5","key":"11","first-page":"993","volume":"3","year":"2003","journal-title":"Journal of Machine Learning Research"},{"issue":"2","key":"14","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1080\/10618600.2000.10474879","volume":"9","year":"2000","journal-title":"Journal of Computational and Graphical Statistics"},{"issue":"1","key":"15","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1214\/06-BA104","volume":"1","year":"2006","journal-title":"Bayesian Analysis"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.122220299"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.112183899"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1128\/JB.186.2.543-555.2004"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/696190.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/696190.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/696190.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T04:22:54Z","timestamp":1714364574000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2012\/696190\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"references-count":15,"alternative-id":["696190","696190"],"URL":"https:\/\/doi.org\/10.1155\/2012\/696190","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}