{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:39:38Z","timestamp":1742913578559,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":42,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642011832"},{"type":"electronic","value":"9783642011849"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-01184-9_8","type":"book-chapter","created":{"date-parts":[[2009,4,9]],"date-time":"2009-04-09T13:41:49Z","timestamp":1239284509000},"page":"80-91","source":"Crossref","is-referenced-by-count":7,"title":["Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks"],"prefix":"10.1007","author":[{"given":"Stephen D.","family":"Turner","sequence":"first","affiliation":[]},{"given":"Marylyn D.","family":"Ritchie","sequence":"additional","affiliation":[]},{"given":"William S.","family":"Bush","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1007\/978-1-59745-304-2_22","volume":"382","author":"R. Linder","year":"2007","unstructured":"Linder, R., Richards, T., Wagner, M.: Microarray data classified by artificial neural networks. Methods Mol. Biol.\u00a0382, 345\u2013372 (2007)","journal-title":"Methods Mol. Biol."},{"issue":"5","key":"8_CR2","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1159\/000022816","volume":"48","author":"P. Lucek","year":"1998","unstructured":"Lucek, P., Hanke, J., Reich, J., Solla, S.A., Ott, J.: Multi-locus nonparametric linkage analysis of complex trait loci with neural networks. Hum. Hered.\u00a048(5), 275\u2013284 (1998)","journal-title":"Hum. Hered."},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1159\/000053338","volume":"51","author":"M. Marinov","year":"2001","unstructured":"Marinov, M., Weeks, D.: The complexity of linkage analysis with neural networks. Human Heredity\u00a051, 169\u2013176 (2001)","journal-title":"Human Heredity"},{"issue":"60","key":"8_CR4","first-page":"61","volume":"105","author":"J. Ott","year":"2001","unstructured":"Ott, J.: Neural networks and disease association studies. American Journal of Medical Genetics (Neuropsychiatric Genetics)\u00a0105(60), 61 (2001)","journal-title":"American Journal of Medical Genetics (Neuropsychiatric Genetics)"},{"issue":"4","key":"8_CR5","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1016\/j.neunet.2005.10.007","volume":"19","author":"P.J. Lisboa","year":"2006","unstructured":"Lisboa, P.J., Taktak, A.F.: The use of artificial neural networks in decision support in cancer: a systematic review. Neural Netw.\u00a019(4), 408\u2013415 (2006)","journal-title":"Neural Netw."},{"issue":"1","key":"8_CR6","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/S0933-3657(03)00050-2","volume":"30","author":"M. Ohlsson","year":"2004","unstructured":"Ohlsson, M.: WeAidU-a decision support system for myocardial perfusion images using artificial neural networks. Artif. Intell. Med.\u00a030(1), 49\u201360 (2004)","journal-title":"Artif. Intell. Med."},{"issue":"10","key":"8_CR7","first-page":"1395","volume":"17","author":"C.R. Porter","year":"2003","unstructured":"Porter, C.R., Crawford, E.D.: Combining artificial neural networks and transrectal ultrasound in the diagnosis of prostate cancer. Oncology (Williston. Park)\u00a017(10), 1395\u20131399 (2003)","journal-title":"Oncology (Williston. Park)"},{"issue":"8","key":"8_CR8","doi-asserted-by":"publisher","first-page":"1596","DOI":"10.1002\/cncr.20938","volume":"103","author":"F. Sato","year":"2005","unstructured":"Sato, F., Shimada, Y., Selaru, F.M., Shibata, D., Maeda, M., Watanabe, G., Mori, Y., Stass, S.A., Imamura, M., Meltzer, S.J.: Prediction of survival in patients with esophageal carcinoma using artificial neural networks. Cancer\u00a0103(8), 1596\u20131605 (2005)","journal-title":"Cancer"},{"issue":"21","key":"8_CR9","doi-asserted-by":"publisher","first-page":"12105","DOI":"10.1073\/pnas.1831973100","volume":"100","author":"J. Meiler","year":"2003","unstructured":"Meiler, J., Baker, D.: Coupled prediction of protein secondary and tertiary structure. Proc. Natl. Acad. Sci. U.S.A\u00a0100(21), 12105\u201312110 (2003)","journal-title":"Proc. Natl. Acad. Sci. U.S.A"},{"key":"8_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"C.M. Bishop","year":"1995","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition, pp. 1\u2013482. Oxford University Press, London (1995)"},{"issue":"9","key":"8_CR11","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1109\/5.784219","volume":"87","author":"X. Yao","year":"1999","unstructured":"Yao, X.: Evolving artificial neural networks. Proceedings of the IEEE\u00a087(9), 1423\u20131447 (1999)","journal-title":"Proceedings of the IEEE"},{"key":"8_CR12","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1186\/1471-2105-7-39","volume":"7","author":"A.A. Motsinger","year":"2006","unstructured":"Motsinger, A.A., Lee, S.L., Mellick, G., Ritchie, M.D.: GPNN: power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease. BMC Bioinformatics\u00a07, 39 (2006)","journal-title":"BMC Bioinformatics"},{"key":"8_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1007\/978-3-540-24854-5_44","volume-title":"Genetic and Evolutionary Computation \u2013 GECCO 2004","author":"M.D. Ritchie","year":"2004","unstructured":"Ritchie, M.D., Coffey, C.S.M.J.H.: Genetic programming neural networks: A bioinformatics tool for human genetics. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol.\u00a03102, pp. 438\u2013448. Springer, Heidelberg (2004)"},{"key":"8_CR14","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1186\/1756-0500-1-65","volume":"1","author":"A.A. Motsinger-Reif","year":"2008","unstructured":"Motsinger-Reif, A.A., Fanelli, T.J., Davis, A.C., Ritchie, M.D.: Power of grammatical evolution neural networks to detect gene-gene interactions in the presence of error. BMC. Res. Notes\u00a01, 65 (2008)","journal-title":"BMC. Res. Notes"},{"key":"8_CR15","unstructured":"Koza, J., Rice, J.: Genetic generation of both the weights and architecture for a neural network. IEEE Transactions\u00a0II (1991)"},{"key":"8_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-0447-4","volume-title":"Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language","author":"M. O\u2019Neil","year":"2003","unstructured":"O\u2019Neil, M., Ryan, C.: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language, 1st edn. Kluwer Academic Publishers, Norwell (2003)","edition":"1"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE International Conference on Neural Networks Proceedings, vol.\u00a04, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"8_CR18","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S. Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science\u00a0220, 671\u2013680 (1983)","journal-title":"Science"},{"issue":"3","key":"8_CR19","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1088\/0965-0393\/3\/3\/006","volume":"3","author":"A.J. Skinner","year":"1995","unstructured":"Skinner, A.J., Broughton, J.Q.: Neural networks in computational materials science: training algorithms. Modelling and Simulation in Materials Science and Engineering\u00a03(3), 371\u2013390 (1995)","journal-title":"Modelling and Simulation in Materials Science and Engineering"},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Likartsis, A., Vlachavas, I., Tsoukalas, L.H.: A new hybrid neural-genetic methodology for improving learning. In: Ninth IEEE International Conference on Tools with Artificial Intelligence Proceedings, pp. 32\u201336 (1997)","DOI":"10.1109\/TAI.1997.632233"},{"key":"8_CR21","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1016\/S0893-6080(03)00020-0","volume":"16","author":"E. Cantu-Paz","year":"2008","unstructured":"Cantu-Paz, E., Kamath, C.: Evolving neural networks to identify bent-double galaxies in the FIRST survey. Neural Networks\u00a016, 507\u2013517 (2008)","journal-title":"Neural Networks"},{"issue":"1","key":"8_CR22","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1006\/tpbi.1996.0003","volume":"49","author":"G. Gibson","year":"1996","unstructured":"Gibson, G.: Epistasis and pleiotropy as natural properties of transcriptional regulation. Theor. Popul. Biol.,\u00a049(1), 58\u201389 (1996)","journal-title":"Theor. Popul. Biol.,"},{"issue":"1-3","key":"8_CR23","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1159\/000073735","volume":"56","author":"J.H. Moore","year":"2003","unstructured":"Moore, J.H.: The ubiquitous nature of epistasis in determining susceptibility to common human diseases. Hum. Hered.\u00a056(1-3), 73\u201382 (2003)","journal-title":"Hum. Hered."},{"issue":"2","key":"8_CR24","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1038\/79866","volume":"26","author":"K.M. Weiss","year":"2000","unstructured":"Weiss, K.M., Terwilliger, J.D.: How many diseases does it take to map a gene with SNPs? Nat. Genet.\u00a026(2), 151\u2013157 (2000)","journal-title":"Nat. Genet."},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Freitas, A.: Understand the Crucial Role of Attribute Interactions in Data Mining, 16th edn., pp. 177\u2013199 (2001)","DOI":"10.1023\/A:1011996210207"},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Li, W., Reich, J.: A complete enumeration and classification of two-locus disease models, 50th edn., pp. 334\u2013349 (2000)","DOI":"10.1159\/000022939"},{"issue":"1","key":"8_CR27","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1038\/nrg2223","volume":"9","author":"S. Komili","year":"2008","unstructured":"Komili, S., Silver, P.A.: Coupling and coordination in gene expression processes: a systems biology view. Nat. Rev. Genet.\u00a09(1), 38\u201348 (2008)","journal-title":"Nat. Rev. Genet."},{"key":"8_CR28","doi-asserted-by":"crossref","unstructured":"International hapmap consortium; The International HapMap Project. Nature\u00a0426(6968), 789\u2013796 (2003)","DOI":"10.1038\/nature02168"},{"key":"8_CR29","doi-asserted-by":"crossref","unstructured":"International hapmap consortium; A second generation human haplotype map of over 3.1 million SNPs. Nature\u00a0449(7164), 851\u2013861 (2007)","DOI":"10.1038\/nature06258"},{"issue":"2","key":"8_CR30","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1038\/9642","volume":"22","author":"L. Kruglyak","year":"1999","unstructured":"Kruglyak, L.: Prospects for whole-genome linkage disequilibrium mapping of common disease genes. Nat. Genet.\u00a022(2), 139\u2013144 (1999)","journal-title":"Nat. Genet."},{"issue":"6","key":"8_CR31","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1007\/BF01245622","volume":"38","author":"W.G. Hill","year":"1968","unstructured":"Hill, W.G., Robertson, A.: Linkage disequilibrium in finite populations. Theoretical and Applied Genetics\u00a038(6), 226\u2013231 (1968)","journal-title":"Theoretical and Applied Genetics"},{"issue":"10","key":"8_CR32","doi-asserted-by":"publisher","first-page":"1469","DOI":"10.1016\/j.patcog.2005.03.024","volume":"38","author":"G. Daqi","year":"2005","unstructured":"Daqi, G., Yan, J.: Classification methodologies of multilayer perceptrons with sigmoid activation functions. Pattern Recognition\u00a038(10), 1469\u20131482 (2005)","journal-title":"Pattern Recognition"},{"issue":"2","key":"8_CR33","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1093\/bioinformatics\/bth457","volume":"21","author":"J.C. Barrett","year":"2005","unstructured":"Barrett, J.C., Fry, B., Maller, J., Daly, M.J.: Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics\u00a021(2), 263\u2013265 (2005)","journal-title":"Bioinformatics"},{"key":"8_CR34","unstructured":"Fields Development Team, Fields: Tools for Spatial Data, National Center for Atmospheric Research, Boulder, CO (2005), http:\/\/www.cgd.ucar.edu\/Software\/Fields"},{"key":"8_CR35","unstructured":"R Development Core Team, R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2005) ISBN 3900051070, http:\/\/www.R-project.org"},{"key":"8_CR36","volume-title":"The Neutral Theory of Molecular Evolution","author":"M. Kimura","year":"1985","unstructured":"Kimura, M.: The Neutral Theory of Molecular Evolution. Cambridge University Press, Cambridge (1985)"},{"issue":"6909","key":"8_CR37","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1038\/nature01140","volume":"419","author":"P.C. Sabeti","year":"2002","unstructured":"Sabeti, P.C., Reich, D.E., Higgins, J.M., Levine, H.Z., Richter, D.J., Schaffner, S.F., Gabriel, S.B., Platko, J.V., Patterson, N.J., McDonald, G.J., Ackerman, H.C., Campbell, S.J., Altshuler, D., Cooper, R., Kwiatkowski, D., Ward, R., Lander, E.S.: Detecting recent positive selection in the human genome from haplotype structure. Nature\u00a0419(6909), 832\u2013837 (2002)","journal-title":"Nature"},{"issue":"1","key":"8_CR38","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1017\/S0016672300014634","volume":"23","author":"J.M. Smith","year":"1974","unstructured":"Smith, J.M., Haigh, J.: The hitch-hiking effect of a favourable gene. Genet. Res.\u00a023(1), 23\u201335 (1974)","journal-title":"Genet. Res."},{"issue":"2","key":"8_CR39","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1073\/pnas.022614799","volume":"99","author":"Y. Gilad","year":"2002","unstructured":"Gilad, Y., Rosenberg, S., Przeworski, M., Lancet, D., Skorecki, K.: Evidence for positive selection and population structure at the human MAO-A gene. Proc. Natl. Acad. Sci. U.S.A\u00a099(2), 862\u2013867 (2002)","journal-title":"Proc. Natl. Acad. Sci. U.S.A"},{"issue":"8","key":"8_CR40","doi-asserted-by":"publisher","first-page":"783","DOI":"10.1093\/hmg\/ddh099","volume":"13","author":"K. Tang","year":"2004","unstructured":"Tang, K., Wong, L.P., Lee, E.J., Chong, S.S., Lee, C.G.: Genomic evidence for recent positive selection at the human MDR1 gene locus. Hum. Mol. Genet.\u00a013(8), 783\u2013797 (2004)","journal-title":"Hum. Mol. Genet."},{"issue":"1","key":"8_CR41","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1073\/pnas.012464099","volume":"99","author":"Y.C. Ding","year":"2002","unstructured":"Ding, Y.C., Chi, H.C., Grady, D.L., Morishima, A., Kidd, J.R., Kidd, K.K., Flodman, P., Spence, M.A., Schuck, S., Swanson, J.M., Zhang, Y.P., Moyzis, R.K.: Evidence of positive selection acting at the human dopamine receptor D4 gene locus. Proc. Natl. Acad. Sci. U.S.A\u00a099(1), 309\u2013314 (2002)","journal-title":"Proc. Natl. Acad. Sci. U.S.A"},{"key":"8_CR42","doi-asserted-by":"crossref","unstructured":"Motsinger, A.A., Reif, D.M., Fanelli, T.J., Davis, A.C., Ritchie, M.D.: Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. In: IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, pp. 1\u20138 (2007)","DOI":"10.1109\/CIBCB.2007.4221197"}],"container-title":["Lecture Notes in Computer Science","Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-01184-9_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,8]],"date-time":"2025-02-08T22:38:55Z","timestamp":1739054335000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-01184-9_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642011832","9783642011849"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-01184-9_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}