{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T19:49:00Z","timestamp":1725565740853},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642158438"},{"type":"electronic","value":"9783642158445"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-15844-5_41","type":"book-chapter","created":{"date-parts":[[2010,9,13]],"date-time":"2010-09-13T04:01:09Z","timestamp":1284350469000},"page":"404-413","source":"Crossref","is-referenced-by-count":8,"title":["The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies"],"prefix":"10.1007","author":[{"given":"Ryan J.","family":"Urbanowicz","sequence":"first","affiliation":[]},{"given":"Jason H.","family":"Moore","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"4","key":"41_CR1","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1093\/bioinformatics\/btp713","volume":"26","author":"J. Moore","year":"2010","unstructured":"Moore, J., Asselbergs, F., Williams, S.: Bioinformatics challenges for genome-wide association studies. Bioinformatics\u00a026(4), 445 (2010)","journal-title":"Bioinformatics"},{"issue":"12","key":"41_CR2","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/j.tig.2004.09.007","volume":"20","author":"T. Thornton-Wells","year":"2004","unstructured":"Thornton-Wells, T., Moore, J., Haines, J.: Genetics, statistics and human disease: analytical retooling for complexity. Trends in Genetics\u00a020(12), 640\u2013647 (2004)","journal-title":"Trends in Genetics"},{"key":"41_CR3","first-page":"39","volume":"194","author":"C. Sing","year":"1985","unstructured":"Sing, C., Boerwinkle, E., Moll, P.: Strategies for elucidating the phenotypic and genetic heterogeneity of a chronic disease with a complex etiology. Progress in Clinical and Biological Research\u00a0194, 39 (1985)","journal-title":"Progress in Clinical and Biological Research"},{"issue":"2","key":"41_CR4","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1002\/gepi.10218","volume":"24","author":"M. Ritchie","year":"2003","unstructured":"Ritchie, M., Hahn, L., Moore, J.: Power of MDR for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity. Genetic Epidemiology\u00a024(2), 150\u2013157 (2003)","journal-title":"Genetic Epidemiology"},{"issue":"7","key":"41_CR5","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1002\/gepi.20256","volume":"31","author":"M. Ritchie","year":"2007","unstructured":"Ritchie, M., Edwards, T., Fanelli, T., Motsinger, A.: Genetic heterogeneity is not as threatening as you might think. Genetic Epidemiology\u00a031(7), 797 (2007)","journal-title":"Genetic Epidemiology"},{"key":"41_CR6","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1159\/000181157","volume":"67","author":"T. Digna","year":"2009","unstructured":"Digna, T., Dudek, R., Ritchie, M.: Exploring the performance of multifactor dimensionality reduction in large scale SNP studies and in the presence of genetic heterogeneity among epistatic disease models. Hum. Hered.\u00a067, 183\u2013192 (2009)","journal-title":"Hum. Hered."},{"issue":"1","key":"41_CR7","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1086\/321276","volume":"69","author":"M. Ritchie","year":"2001","unstructured":"Ritchie, M., Hahn, L., Roodi, N., Bailey, L., Dupont, W., Parl, F., Moore, J.: MDR reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. The American Journal of Human Genetics\u00a069(1), 138\u2013147 (2001)","journal-title":"The American Journal of Human Genetics"},{"issue":"20","key":"41_CR8","doi-asserted-by":"publisher","first-page":"2463","DOI":"10.1093\/hmg\/11.20.2463","volume":"11","author":"H. Cordell","year":"2002","unstructured":"Cordell, H.: Epistasis: what it means, what it doesn\u2019t mean, and statistical methods to detect it in humans. Human Molecular Genetics\u00a011(20), 2463 (2002)","journal-title":"Human Molecular Genetics"},{"issue":"2","key":"41_CR9","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.jtbi.2005.11.036","volume":"241","author":"J. Moore","year":"2006","unstructured":"Moore, J., Gilbert, J., Tsai, C., Chiang, F., Holden, T., Barney, N., White, B.: A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. Journal of Theoretical Biology\u00a0241(2), 252\u2013261 (2006)","journal-title":"Journal of Theoretical Biology"},{"key":"41_CR10","volume-title":"Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation","author":"R. Urbanowicz","year":"2010","unstructured":"Urbanowicz, R., Moore, J.: The Application of Michigan-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Asssociation Studies. In: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation. ACM, New York (in Press, 2010)"},{"key":"41_CR11","doi-asserted-by":"crossref","unstructured":"Urbanowicz, R., Moore, J.: Learning Classifier Systems: A Complete Introduction, Review, and Roadmap. Journal of Artificial Evolution and Applications (2009)","DOI":"10.1155\/2009\/736398"},{"key":"41_CR12","unstructured":"Llora, X., Garrell, J.: Automatic Classification and Artificial Life Models. In: Proceedings of Learning Workshop IEEE and Univesidad Carlos III (2000)"},{"key":"41_CR13","first-page":"461","volume-title":"Proceedings of the Third Genetic and Evolutionary Computation Conference","author":"X. Llora","year":"2001","unstructured":"Llora, X., Garrell, J., et al.: Knowledge-independent data mining with fine-grained parallel evolutionary algorithms. In: Proceedings of the Third Genetic and Evolutionary Computation Conference, pp. 461\u2013468. Morgan Kaufmann, Citeseer (2001)"},{"key":"41_CR14","unstructured":"Bacardit, J.: Pittsburgh genetic-based machine learning in the data mining era: representations, generalization, and run-time. PhD thesis, Enginyeria i Arquitectura La Salle, Ramon Llull University, Barcelona, European Union, Catalonia, Spain (2004)"},{"key":"41_CR15","unstructured":"De Jong, K., Spears, W.: Learning concept classification rules using genetic algorithms. In: Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, Citeseer, pp. 651\u2013656 (1991)"}],"container-title":["Parallel Problem Solving from Nature, PPSN XI"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-15844-5_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,20]],"date-time":"2019-03-20T06:29:03Z","timestamp":1553063343000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-15844-5_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642158438","9783642158445"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-15844-5_41","relation":{},"subject":[],"published":{"date-parts":[[2010]]}}}