{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:19:51Z","timestamp":1750306791905,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2013,8,11]],"date-time":"2013-08-11T00:00:00Z","timestamp":1376179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004794","name":"Centre National de la Recherche Scientifique","doi-asserted-by":"publisher","award":["IRRB 11\/R 14-09"],"award-info":[{"award-number":["IRRB 11\/R 14-09"]}],"id":[{"id":"10.13039\/501100004794","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2013,8,11]]},"DOI":"10.1145\/2500863.2500866","type":"proceedings-article","created":{"date-parts":[[2013,8,1]],"date-time":"2013-08-01T15:13:48Z","timestamp":1375370028000},"page":"18-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model"],"prefix":"10.1145","author":[{"given":"Sabeur","family":"Aridhi","sequence":"first","affiliation":[{"name":"Clermont University, Blaise and Pascal University, LIMOS, BP and University of Tunis El Manar, Tunis, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haitham","family":"Sghaier","sequence":"additional","affiliation":[{"name":"Unit of Microbiology and Molecular Biology, National Center for Nuclear Sciences and Technologies (CNSTN), Sidi Thabet, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mondher","family":"Maddouri","sequence":"additional","affiliation":[{"name":"University of Tunis El Manar, Tunis, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Engelbert Mephu","family":"Nguifo","sequence":"additional","affiliation":[{"name":"Clermont University, Blaise and Pascal University, LIMOS, BP, Clermont-Ferrand, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2013,8,11]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Oct.","author":"Altschul S. F.","year":"1990","unstructured":"S. F. Altschul , W. Gish , W. Miller , E. W. Myers , and D. J. Lipman . Basic local alignment search tool. Journal of molecular biology, 215(3):403--410 , Oct. 1990 . S. F. Altschul, W. Gish, W. Miller, E. W. Myers, and D. J. Lipman. Basic local alignment search tool. Journal of molecular biology, 215(3):403--410, Oct. 1990."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg1002"},{"key":"e_1_3_2_1_3_1","volume-title":"Mining representative unsubstituted graph patterns using prior similarity matrix. CoRR, abs\/1303.2054","author":"Dhifli W.","year":"2013","unstructured":"W. Dhifli , R. Saidi , and E. M. Nguifo . Mining representative unsubstituted graph patterns using prior similarity matrix. CoRR, abs\/1303.2054 , 2013 . W. Dhifli, R. Saidi, and E. M. Nguifo. Mining representative unsubstituted graph patterns using prior similarity matrix. CoRR, abs\/1303.2054, 2013."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(96)00034-3"},{"key":"e_1_3_2_1_5_1","volume-title":"Implementation of multiple-instance learning in drug activity prediction. BMC Bioinformatics, 13(S-15):S3","author":"Fu G.","year":"2012","unstructured":"G. Fu , X. Nan , H. Liu , R. Y. Patel , P. R. Daga , Y. Chen , D. Wilkins , and R. J. Doerksen . Implementation of multiple-instance learning in drug activity prediction. BMC Bioinformatics, 13(S-15):S3 , 2012 . G. Fu, X. Nan, H. Liu, R. Y. Patel, P. R. Daga, Y. Chen, D. Wilkins, and R. J. Doerksen. Implementation of multiple-instance learning in drug activity prediction. BMC Bioinformatics, 13(S-15):S3, 2012."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.4137\/GEI.S2380"},{"key":"e_1_3_2_1_7_1","volume-title":"Data Mining: Concepts and Techniques","author":"Han J.","year":"2011","unstructured":"J. Han , M. Kamber , and J. Pei . Data Mining: Concepts and Techniques . Morgan Kaufmann Publishers Inc ., San Francisco, CA, USA, 3 rd edition, 2011 . J. Han, M. Kamber, and J. Pei. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 3rd edition, 2011.","edition":"3"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","first-page":"D475","DOI":"10.1093\/nar\/gkm884","article-title":"The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata","volume":"36","author":"Liolios K.","year":"2008","unstructured":"K. Liolios , K. Mavromatis , N. Tavernarakis , and N. C. Kyrpides . The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata . Nucleic Acids Research , 36(suppl 1 ): D475 -- D479 , Jan. 2008 . K. Liolios, K. Mavromatis, N. Tavernarakis, and N. C. Kyrpides. The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Research, 36(suppl 1):D475--D479, Jan. 2008.","journal-title":"Nucleic Acids Research"},{"key":"e_1_3_2_1_9_1","first-page":"570","volume-title":"Advances in Neural Information Processing Systems","author":"Maron O.","year":"1998","unstructured":"O. Maron and T. L. P\u00e9rez . A Framework for Multiple-Instance Learning . In M. I. Jordan, M. J. Kearns, and S. A. Solla, editors, Advances in Neural Information Processing Systems , volume 10 , pages 570 -- 576 , Cambridge, MA , 1998 . The MIT Press . O. Maron and T. L. P\u00e9rez. A Framework for Multiple-Instance Learning. In M. I. Jordan, M. J. Kearns, and S. A. Solla, editors, Advances in Neural Information Processing Systems, volume 10, pages 570--576, Cambridge, MA, 1998. The MIT Press."},{"key":"e_1_3_2_1_10_1","first-page":"2012","article-title":"Evolution of lysine biosynthesis in the phylum deinococcus-thermus","author":"Nishida H.","year":"2012","unstructured":"H. Nishida and M. Nishiyama . Evolution of lysine biosynthesis in the phylum deinococcus-thermus . Int J Evol Biol , 2012 , 2012 . H. Nishida and M. Nishiyama. Evolution of lysine biosynthesis in the phylum deinococcus-thermus. Int J Evol Biol, 2012, 2012.","journal-title":"Int J Evol Biol"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1128\/JB.00662-10"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2148-5-57"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2148-5-57"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2382936.2383060"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-11-175"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2164-9-297"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13213-013-0612-2"},{"key":"e_1_3_2_1_18_1","first-page":"1119","volume-title":"Zucker. Solving the Multiple-Instance Problem: A Lazy Learning Approach. In Proc. 17th International Conf. on Machine Learning","author":"Wang J.","year":"2000","unstructured":"J. Wang and J.- D. Zucker. Solving the Multiple-Instance Problem: A Lazy Learning Approach. In Proc. 17th International Conf. on Machine Learning , pages 1119 -- 1125 . Morgan Kaufmann , 2000 . J. Wang and J.-D. Zucker. Solving the Multiple-Instance Problem: A Lazy Learning Approach. In Proc. 17th International Conf. on Machine Learning, pages 1119--1125. Morgan Kaufmann, 2000."},{"key":"e_1_3_2_1_19_1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1007\/978-3-540-69902-6_5","volume-title":"New Frontiers in Artificial Intelligence","author":"Yamakawa H.","year":"2007","unstructured":"H. Yamakawa , K. Maruhashi , and Y. Nakao . Predicting Types of Protein-Protein Interactions Using a Multiple-Instance Learning Model . In T. Washio, K. Satoh, H. Takeda, and A. Inokuchi, editors, New Frontiers in Artificial Intelligence , volume 4384 of Lecture Notes in Computer Science , pages 42 -- 53 . Springer Berlin Heidelberg , 2007 . H. Yamakawa, K. Maruhashi, and Y. Nakao. Predicting Types of Protein-Protein Interactions Using a Multiple-Instance Learning Model. In T. Washio, K. Satoh, H. Takeda, and A. Inokuchi, editors, New Frontiers in Artificial Intelligence, volume 4384 of Lecture Notes in Computer Science, pages 42--53. Springer Berlin Heidelberg, 2007."}],"event":{"name":"KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Chicago Illinois","acronym":"KDD' 13"},"container-title":["Proceedings of the 12th International Workshop on Data Mining in Bioinformatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2500863.2500866","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2500863.2500866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T07:34:27Z","timestamp":1750232067000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2500863.2500866"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,8,11]]},"references-count":19,"alternative-id":["10.1145\/2500863.2500866","10.1145\/2500863"],"URL":"https:\/\/doi.org\/10.1145\/2500863.2500866","relation":{},"subject":[],"published":{"date-parts":[[2013,8,11]]},"assertion":[{"value":"2013-08-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}