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Artykuły w czasopismach na temat "Genetic"
Sumida, Brian. "Genetics for genetic algorithms". ACM SIGBIO Newsletter 12, nr 2 (czerwiec 1992): 44–46. http://dx.doi.org/10.1145/130686.130694.
Pełny tekst źródłaNiendorf, Kristin Baker. "Genetic Library: Cancer Genetics". Journal of Genetic Counseling 11, nr 5 (październik 2002): 429–34. http://dx.doi.org/10.1023/a:1016854001384.
Pełny tekst źródłaComfort, Nathaniel. "Genetics: The genetic watchmaker". Nature 502, nr 7472 (październik 2013): 436–37. http://dx.doi.org/10.1038/502436a.
Pełny tekst źródłaClarke, Angus. "Genetic imprinting in clinical genetics". Development 108, Supplement (1.04.1990): 131–39. http://dx.doi.org/10.1242/dev.108.supplement.131.
Pełny tekst źródłaKallab, Chadi, Samir Haddad i Jinane Sayah. "Flexible Traceable Generic Genetic Algorithm". Open Journal of Applied Sciences 12, nr 06 (2022): 877–91. http://dx.doi.org/10.4236/ojapps.2022.126060.
Pełny tekst źródłaShanmugam, Ramalingam. "Biostatistical genetics and genetic epidemiology". Journal of Statistical Computation and Simulation 73, nr 7 (lipiec 2003): 543–44. http://dx.doi.org/10.1080/0094965021000044411.
Pełny tekst źródłaSiegel, PB, i EA Dunnington. "Genetic selection strategies–population genetics". Poultry Science 76, nr 8 (sierpień 1997): 1062–65. http://dx.doi.org/10.1093/ps/76.8.1062.
Pełny tekst źródłaAthanasiou, Y., M. Zavros, M. Arsali, L. Papazachariou, P. Demosthenous, I. Savva, K. Voskarides i in. "GENETIC DISEASES AND MOLECULAR GENETICS". Nephrology Dialysis Transplantation 29, suppl 3 (1.05.2014): iii339—iii350. http://dx.doi.org/10.1093/ndt/gfu162.
Pełny tekst źródłaZiegel, Eric R. "Biostatistical Genetics and Genetic Epidemiology". Technometrics 44, nr 4 (listopad 2002): 409. http://dx.doi.org/10.1198/tech.2002.s98.
Pełny tekst źródłaNeville, Melvin, i Anaika Sibley. "Developing a generic genetic algorithm". ACM SIGAda Ada Letters XXIII, nr 1 (marzec 2003): 45–52. http://dx.doi.org/10.1145/1066404.589462.
Pełny tekst źródłaRozprawy doktorskie na temat "Genetic"
KOSHIYAMA, ADRIANO SOARES. "GPFIS: A GENERIC GENETIC-FUZZY SYSTEM BASED ON GENETIC PROGRAMMING". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26560@1.
Pełny tekst źródłaCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Sistemas Fuzzy-Genéticos compreendem uma área que une Sistemas de Inferência Fuzzy e Meta-Heurísticas prevalentes nos conceitos de seleção natural e recombinação genética. Esta é de grande interesse para a comunidade científica, pois propicia a descoberta de conhecimento em áreas onde a compreensão do fenômeno em estudo é exíguo, além de servir de apoio à decisão para gestores público-privados. O objetivo desta dissertação é desenvolver um novo Sistema Fuzzy-Genético Genérico, denominado Genetic Programming Fuzzy Inference System (GPFIS). O principal aspecto do modelo GPFIS são as componentes do seu processo de Inferência Fuzzy. Esta estrutura é composta em sua base pela Programação Genética Multigênica e pretende: (i ) possibilitar o uso de operadores de agregação, negação e modificadores linguísticos de forma simplificada; (ii ) empregar heurísticas de definição do consequente mais apropriado para uma parte antecedente; e (iii ) usar um procedimento de defuzzificação, que induzido pela forma de fuzzificação e sobre determinadas condições, pode proporcionar uma estimativa mais acurada. Todas estas são contribuições que podem ser estendidas a outros Sistemas Fuzzy-Genéticos. Para demonstrar o aspecto genérico, o desempenho e a importância de cada componente para o modelo proposto, são formuladas uma série de investigações empíricas. Cada investigação compreende um tipo de problema: Classificação, Previsão, Regressão e Controle. Para cada problema, a melhor configuração obtida durante as investigações é usada no modelo GPFIS e os resultados são comparados com os de outros Sistemas Fuzzy-Genéticos e modelos presentes na literatura. Por fim, para cada problema é apresentada uma aplicação detalhada do modelo GPFIS em um caso real.
Genetic Fuzzy Systems constitute an area that brings together Fuzzy Inference Systems and Meta-Heuristics that are often related to natural selection and genetic recombination. This area attracts great interest from the scientific community, due to the knowledge discovery capability in situations where the comprehension of the phenomenon under analysis is lacking. It can also provides support to decision makers. This dissertation aims at developing a new Generic Genetic Fuzzy System, called Genetic Programming Fuzzy Inference System (GPFIS). The main aspects of GPFIS model are the components which are part of its Fuzzy Inference procedure. This structure is basically composed of Multi-Gene Genetic Programming and intends to: (i ) apply aggregation operators, negation and linguistic hedges in a simple manner; (ii ) make use of heuristics to define the consequent term most appropriate to the antecedent part; (iii ) employ a defuzzification procedure that, driven by the fuzzification step and under some assumptions, can provide a most accurate estimate. All these features are contributions that can be extended to other Genetic Fuzzy Systems. In order to demonstrate the general aspect of GPFIS, its performance and the relevance of each of its components, several investigations have been performed. They deal with Classification, Forecasting, Regression and Control problems. By using the best configuration obtained for each of the four problems, results are compared to other Genetic Fuzzy Systems and models in the literature. Finally, applications of GPFIS actual cases in each category is reported.
Rodas, Perez M. C. "Medical genetics in Colombia : genetic consultation and counselling in five genetic clinics". Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/46980/.
Pełny tekst źródłaAsher, Allison Marie. "CONSERVATION GENETICS OF PADDLEFISH: GENETIC EFFECTIVE POPULATION SIZE AND RANGEWIDE GENETIC STRUCTURE". OpenSIUC, 2019. https://opensiuc.lib.siu.edu/dissertations/1693.
Pełny tekst źródłaBland, Ian Michael. "Generic systolic arrays for genetic algorithms". Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312529.
Pełny tekst źródłaCampino, Susana. "Genetic analysis of murine malaria". Doctoral thesis, Umeå universitet, Medicinsk biovetenskap, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-124.
Pełny tekst źródłaDe, Bustos Cecilia. "Genetic and Epigenetic Variation in the Human Genome : Analysis of Phenotypically Normal Individuals and Patients Affected with Brain Tumors". Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6629.
Pełny tekst źródłaHedmark, Eva. "Conservation Genetics of Scandinavian Wolverines". Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Universitetsbiblioteket [distributör], 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6636.
Pełny tekst źródłaNordquist, Niklas. "Genetic Studies of Rheumatoid Arthritis using Animal Models". Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2001. http://publications.uu.se/theses/91-554-5117-9/.
Pełny tekst źródłaHayes, Christina Savannah Maria. "Generic properties of the infinite population genetic algorithm". Diss., Montana State University, 2006. http://etd.lib.montana.edu/etd/2006/hayes/HayesC0806.pdf.
Pełny tekst źródłaZenger, Kyall Richard. "Genetic linkage maps and population genetics of macropods". Phd thesis, Australia : Macquarie University, 2002. http://hdl.handle.net/1959.14/47604.
Pełny tekst źródłaThesis (PhD)--Macquarie University, Division of Environmental and Life Sciences, Department of Biological Sciences, 2002.
Bibliography: leaves 136-157.
General introduction -- Molecular markers for comparative and quantitative studies in macropods -- Genetic linkage map construction in the tammar wallaby (M. eugenii) -- Intraspecific variation, sex-biased dispersal and phylogeography of the eastern grey kangaroo (M. giganteus) -- General discussion.
The analysis of DNA using molecular techniques is an important tool for studies of evolutionary relationships, population genetics and genome organisation. The use of molecular markers within marsupials is primarily limited by their availability and success of amplification. Within this study, 77 macropodid type II microsatellite loci and two type I genetic markers were characterised within M. eugenii to evaluate polymorphic levels and cross-species amplification artifacts. Results indicated that 65 microsatellite loci amplified a single locus in M. eugenii with 44 exhibiting high levels of variability. The success of crossspecies amplification of microsatellite loci was inversely proportional to the evolutionary distance between the macropod species. It is revealed that the majority of species within the Macropodidae are capable of using many of the available heterologous microsatellites. When comparing the degree of variability between source-species and M. eugenii, most were significantly higher within source species (P < 0.05). These differences were most likely caused by ascertainment bias in microsatellite selection for both length and purity. -- The production of a marsupial genetic linkage map is perhaps one of the most important objectives in marsupial research. This study used a total of 353 informative meioses and 64 genetic markers to construct a framework genetic linkage map for M. eugenii. Nearly all markers (93.7%) formed a significant linkage (LOD > 3.0) with at least one other marker. More than 70% (828 cM) of the genome had been mapped when compared with chiasmata data. Nine linkage groups were identified, with all but one (LG7; X-linked) allocated to the autosomes. Theses groups ranged in size from 15.7 cM to 176.5 cM, and have an average distance of 16.2 cM between adjacent markers. Of the autosomal linkage groups, LG2 and LG3 were assigned to chromosome 1 and LG4 localised to chromosome 3 based on physical localisation of genes. Significant sex-specific distortions towards reduced female recombination rates were revealed in 22% of comparisons. Positive interference was observed within all the linkage groups analysed. When comparing the X-chromosome data to closely related species it is apparent that it is conserved both in synteny and gene order. -- The investigation of population dynamics of eastern grey kangaroos has been limited to a few ecological studies. The present investigation provides analysis of mtDNA and microsatellite data to infer both historical and contemporary patterns of population structuring and dispersal. The average level of genetic variation across sample locations was exceedingly high (h = 0.95, HE = 0.82), and is one of the highest observed for marsupials. Contrary to ecological studies, both genic and genotypic analyses reveal weak genetic structure of populations where high levels of dispersal may be inferred up to 230 km. The movement of individuals was predominantly male-biased (average N,m = 22.61, average N p = 2.73). However, neither sex showed significant isolation by distance. On a continental scale, there was strong genetic differentiation and phylogeographic distinction between southern (TAS, VIC and NSW) and northern (QLD) Australian populations, indicating a current and / or historical restriction of geneflow. In addition, it is evident that northern populations are historically more recent, and were derived from a small number of southern eastern grey kangaroo founders. Phylogenetic comparisons between M. g. giganteus and M. g. tasmaniensis, indicated that the current taxonomic status of these subspecies should be revised as there was a lack of genetic differentiation between the populations sampled.
Mode of access: World Wide Web.
xv, 182 leaves ill
Książki na temat "Genetic"
Wexler, Barbara. Genetics and genetic engineering. Wyd. 2. Detroit, MI: Thomson/Gale Group, 2006.
Znajdź pełny tekst źródłaWexler, Barbara. Genetics and genetic engineering. Wyd. 2. Farmington Hills, Mich: Gale Cengage Learning, 2015.
Znajdź pełny tekst źródłaYount, Lisa. Genetics and genetic engineering. New York: Facts on File, 1997.
Znajdź pełny tekst źródła1932-, Elston Robert C., Olson Jane M i Palmer Lyle, red. Biostatistical genetics and genetic epidemiology. Chichester, England: New York, NY, USA, 2002.
Znajdź pełny tekst źródłaClinical genetics and genetic counseling. Wyd. 2. Chicago: Year Book Medical Publishers, 1986.
Znajdź pełny tekst źródłaTudge, Colin. The day before yesterday: Five million years of human history. London: Pimlico, 1996.
Znajdź pełny tekst źródłaJ, Simmons Michael, red. Principles of genetics. Wyd. 3. New York, NY: John Wiley & Sons, 2003.
Znajdź pełny tekst źródłaSnustad, D. Peter. Principles of genetics. Wyd. 2. New York: John Wiley, 2002.
Znajdź pełny tekst źródłaSnustad, D. Peter. Principles of genetics. New York: John Wiley, 1997.
Znajdź pełny tekst źródłaJ, Simmons Michael, red. Principles of genetics. Wyd. 4. Hoboken, NJ: John Wiley & Sons, 2006.
Znajdź pełny tekst źródłaCzęści książek na temat "Genetic"
Foroud, Tatiana, i Daniel L. Koller. "Genetic Inheritance and Population Genetics". W Molecular Genetic Pathology, 393–403. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-405-6_14.
Pełny tekst źródłaForoud, Tatiana, i Daniel L. Koller. "Genetic Inheritance and Population Genetics". W Molecular Genetic Pathology, 111–27. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4800-6_5.
Pełny tekst źródłaTwfieg, Mohammed-Elfatih, i M. Dawn Teare. "Molecular Genetics and Genetic Variation". W Methods in Molecular Biology, 3–12. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60327-416-6_1.
Pełny tekst źródłaHagemann, Rudolf, Monika M. Hagemann i Ralph Block. "Genetic Extranuclear Inheritance: Plastid Genetics". W Progress in Botany, 108–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80446-5_4.
Pełny tekst źródłaVogel, Friedrich, i Arno G. Motulsky. "Population Genetics: Consanguinity, Genetic Drift". W Human Genetics, 549–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03356-2_14.
Pełny tekst źródłaLee, Keekok. "Genetic Resources, Genetic Democracy and Genetic Equity". W Genetic Democracy, 121–32. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6212-4_10.
Pełny tekst źródłaClarke, Angus. "Genetics and genetic counselling: An introduction". W Harper's Practical Genetic Counselling, 3–22. Eighth edition | Boca Raton : CRC Press, [2020] | Preceded by Practical genetic counselling / Peter S. Harper. 7th ed. 2010.: CRC Press, 2019. http://dx.doi.org/10.1201/9780367371944-1.
Pełny tekst źródłaGaspin, Christine, i Thomas Schiex. "Genetic algorithms for genetic mapping". W Lecture Notes in Computer Science, 145–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0026597.
Pełny tekst źródłaMerks, Johannes H. M., i Ines B. Brecht. "Genetic Predisposition and Genetic Susceptibility". W Rare Tumors In Children and Adolescents, 69–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04197-6_6.
Pełny tekst źródłaStanier, Roger Y., John L. Ingraham, Mark L. Wheelis i Page R. Painter. "Microbial Genetics: Genetic Exchange and Recombination". W General Microbiology, 257–85. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08754-9_11.
Pełny tekst źródłaStreszczenia konferencji na temat "Genetic"
Neville, Melvin, i Anaika Sibley. "Developing a generic genetic algorithm". W the 2002 annual ACM SIGAda international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/589451.589462.
Pełny tekst źródłaChapman, Colin D., Kazuhiro Saitou i Mark J. Jakiela. "Genetic Algorithms As an Approach to Configuration and Topology Design". W ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0338.
Pełny tekst źródłaMorgan, Jeffrey R. "Genetic Strategies for Tissue Engineering". W ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-1165.
Pełny tekst źródłaLangdon, William B. "Genetic Improvement of Genetic Programming". W 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020. http://dx.doi.org/10.1109/cec48606.2020.9185771.
Pełny tekst źródłaChan, Tak-Ming, Kwong-Sak Leung, Kin-Hong Lee i Pietro Lio'. "Generic spaced DNA motif discovery using Genetic Algorithm". W 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5585924.
Pełny tekst źródłaZimmerman, David C. "Navigating Expensive and Complex Design Spaces Using Genetic Algorithms". W ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8168.
Pełny tekst źródłaArakawa, Masao. "PSO Driven Genetic Range Genetic Algorithms". W ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84942.
Pełny tekst źródłaLopes, Rui L., i Ernesto Costa. "Genetic programming with genetic regulatory networks". W Proceeding of the fifteenth annual conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2463372.2463488.
Pełny tekst źródła"Genetic linkage to explain genetic variation". W 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.a4.mijangos.
Pełny tekst źródłaHofestaedt, Ralf, i Hermann Mueller. "Genetic algorithms based on genetic grammar". W Aerospace Sensing, redaktor Firooz A. Sadjadi. SPIE, 1992. http://dx.doi.org/10.1117/12.139959.
Pełny tekst źródłaRaporty organizacyjne na temat "Genetic"
Sharp, David H., John Reinitz i Eric Mjolsness. Genetic Algorithms for Genetic Neural Nets. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1991. http://dx.doi.org/10.21236/ada256223.
Pełny tekst źródłaArthur, Jennifer Ann. Genetic Algorithms. Office of Scientific and Technical Information (OSTI), sierpień 2017. http://dx.doi.org/10.2172/1375151.
Pełny tekst źródłaEric J. Hall. Individual Genetic Susceptibility. Office of Scientific and Technical Information (OSTI), grudzień 2008. http://dx.doi.org/10.2172/943485.
Pełny tekst źródłaLicht, Mark A. Corn Genetic Isolines. Ames: Iowa State University, Digital Repository, 2008. http://dx.doi.org/10.31274/farmprogressreports-180814-113.
Pełny tekst źródłaKammenga, J. E. Hidden genetic variation : From recognition to acknowledgement of genetic individuality. Wageningen: Wageningen University & Research, 2016. http://dx.doi.org/10.18174/409705.
Pełny tekst źródłaRothstein, M. A. Genetic secrets: Protecting privacy and confidentiality in the genetic era. Office of Scientific and Technical Information (OSTI), lipiec 1998. http://dx.doi.org/10.2172/656488.
Pełny tekst źródłaCahaner, Avigdor, Susan J. Lamont, E. Dan Heller i Jossi Hillel. Molecular Genetic Dissection of Complex Immunocompetence Traits in Broilers. United States Department of Agriculture, sierpień 2003. http://dx.doi.org/10.32747/2003.7586461.bard.
Pełny tekst źródłaGirisankar Prema, Abinaya, Iyshwarya Bhaskar Kalarani i Ramakrishnan Veerabathiran. Genetic aspects of epilepsy. Peeref, listopad 2022. http://dx.doi.org/10.54985/peeref.2211p2734634.
Pełny tekst źródłaRothstein, M. A. Genetic secrets: Protecting privacy and confidentiality in the genetic era. Final report. Office of Scientific and Technical Information (OSTI), wrzesień 1998. http://dx.doi.org/10.2172/656499.
Pełny tekst źródłaGootwine, Elisha, Warren C. Foote, Moshe Shani i H. Goot. Genetic Improvement of Sheep by Introduction of Foreign Genetic Information into Prolific Breeds. United States Department of Agriculture, sierpień 1985. http://dx.doi.org/10.32747/1985.7566578.bard.
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