{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:12:54Z","timestamp":1761862374379,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2004,8,22]],"date-time":"2004-08-22T00:00:00Z","timestamp":1093132800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2004,8,22]]},"DOI":"10.1145\/1014052.1016923","type":"proceedings-article","created":{"date-parts":[[2004,10,7]],"date-time":"2004-10-07T17:39:48Z","timestamp":1097170788000},"page":"835-840","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Learning a complex metabolomic dataset using random forests and support vector machines"],"prefix":"10.1145","author":[{"given":"Young","family":"Truong","sequence":"first","affiliation":[{"name":"University of North Carolina, Chapel Hill, NC"}]},{"given":"Xiaodong","family":"Lin","sequence":"additional","affiliation":[{"name":"Duke University, Research Triangle Park, NC"}]},{"given":"Chris","family":"Beecher","sequence":"additional","affiliation":[{"name":"Metabolon, Research Triangle Park, NC"}]}],"member":"320","published-online":{"date-parts":[[2004,8,22]]},"reference":[{"volume-title":"Golden Helix Inc","key":"e_1_3_2_1_1_1","unstructured":"FIRMPlus. Golden Helix Inc , Bozeman, MT, USA . FIRMPlus. Golden Helix Inc, Bozeman, MT, USA."},{"key":"e_1_3_2_1_2_1","first-page":"57","volume-title":"Innovations of Pharmaceutical Technology","author":"Beecher C.","year":"1995","unstructured":"C. Beecher . Metabolomics : The newest of the 'omics' sciences . Innovations of Pharmaceutical Technology , pages 57 -- 64 , 1995 . C. Beecher. Metabolomics: The newest of the 'omics' sciences. Innovations of Pharmaceutical Technology, pages 57--64, 1995."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_4_1","volume-title":"Wadsworth","author":"Breiman L.","year":"1984","unstructured":"L. Breiman , J. Friedman , R. Olshen , and C. J. Stone . Classification and Regression Trees . Wadsworth , Belmont, CA , 1984 . L. Breiman, J. Friedman, R. Olshen, and C. J. Stone. Classification and Regression Trees. Wadsworth, Belmont, CA, 1984."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:COAP.0000026884.66338.df"},{"key":"e_1_3_2_1_7_1","volume-title":"Simultaneous analysis of multiple redox-active metabolites from biological matrices. Methods Mol Biol, (186):185--94","author":"Kristal B. S.","year":"2002","unstructured":"B. S. Kristal , K. Vigneau-Callahan , and W. R. Matson . Simultaneous analysis of multiple redox-active metabolites from biological matrices. Methods Mol Biol, (186):185--94 , 2002 . B. S. Kristal, K. Vigneau-Callahan, and W. R. Matson. Simultaneous analysis of multiple redox-active metabolites from biological matrices. Methods Mol Biol, (186):185--94, 2002."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1733249100"},{"key":"e_1_3_2_1_9_1","volume-title":"Learning with Kernels","author":"Scholkopf B.","year":"2002","unstructured":"B. Scholkopf and A. Smola . Learning with Kernels . MIT Press , Cambridge, MA, USA , 2002 . B. Scholkopf and A. Smola. Learning with Kernels. MIT Press, Cambridge, MA, USA, 2002."},{"key":"e_1_3_2_1_10_1","volume-title":"Active and passive learning to explore a complex metabolism data set. IFCS, to appear","author":"Simmons S. J.","year":"2004","unstructured":"S. J. Simmons , X. Lin , C. Beecher , Y. Truong , and S. S. Young . Active and passive learning to explore a complex metabolism data set. IFCS, to appear , 2004 . S. J. Simmons, X. Lin, C. Beecher, Y. Truong, and S. S. Young. Active and passive learning to explore a complex metabolism data set. IFCS, to appear, 2004."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0958-1669(03)00023-5"}],"event":{"name":"KDD04: 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","ACM Association for Computing Machinery"],"location":"Seattle WA USA","acronym":"KDD04"},"container-title":["Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1014052.1016923","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1014052.1016923","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T16:31:25Z","timestamp":1750264285000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1014052.1016923"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,8,22]]},"references-count":10,"alternative-id":["10.1145\/1014052.1016923","10.1145\/1014052"],"URL":"https:\/\/doi.org\/10.1145\/1014052.1016923","relation":{},"subject":[],"published":{"date-parts":[[2004,8,22]]},"assertion":[{"value":"2004-08-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}