Дисертації з теми "Genetic theory"
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Yan, Ping. "Theory of simple genetic algorithms." Thesis, University of Macau, 2000. http://umaclib3.umac.mo/record=b1446649.
Повний текст джерелаAnderson, Jon K. "Genetic algorithms applied to graph theory." Virtual Press, 1999. http://liblink.bsu.edu/uhtbin/catkey/1136714.
Повний текст джерелаDepartment of Computer Science
Kang, Yong-Ho. "Adaptive control via genetic algorithms : theory and application." Thesis, University of Reading, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308023.
Повний текст джерелаMorr, Lindsey. "Cascade testing communication within Lynch syndrome families: An examination of communication privacy management theory." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1525765585195444.
Повний текст джерелаPopelka, Aleš. "Datamining - theory and it's application." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-164981.
Повний текст джерелаHellenthal, Garrett. "Exploring rates and patterns of variability in gene conversion and crossover in the human genome /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/8961.
Повний текст джерелаReynolds, David. "Theory of genetic algorithms with applications to heat integration networks." Thesis, Glasgow Caledonian University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296464.
Повний текст джерелаMambrini, Andrea. "Theory grounded design of genetic programming and parallel evolutionary algorithms." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5928/.
Повний текст джерелаRichter, James Neal. "On mutation and crossover in the theory of evolutionary algorithms." Thesis, Montana State University, 2010. http://etd.lib.montana.edu/etd/2010/richter/RichterJ0510.pdf.
Повний текст джерелаKrasnogor, Natalio. "Studies on the theory and design space of memetic algorithms." Thesis, University of the West of England, Bristol, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249135.
Повний текст джерелаMa, Qiang. "The application of genetic algorithms to the adaptation of IIR filters." Thesis, Loughborough University, 1995. https://dspace.lboro.ac.uk/2134/32269.
Повний текст джерелаSuzuki, Ayaka. "Familial Communication of Positive BRCA1/2 Genetic Testing Results: A Relational Dialectics Theory Approach." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504787059498275.
Повний текст джерелаAl-Daraiseh, Ahmad. "GENETICALLY ENGINEERED ADAPTIVE RESONANCE THEORY (ART) NEURAL NETWORK ARCHITECTURES." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3171.
Повний текст джерелаPh.D.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Computer Engineering
Hu, Xin-Sheng. "Genetic marker studies of the Larix gmelinii complex and the development of genetic marker theory for plant populations." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/17011.
Повний текст джерелаStewart, William C. L. "Alternative models for estimating genetic maps from pedigree data /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/8975.
Повний текст джерелаKohli, Sakshi. "Understanding the role of Mycobacterium tuberculosis pe proteins in bacterial virulence." Thesis, IIT Delhi, 2017. http://localhost:8080/xmlui/handle/12345678/7232.
Повний текст джерелаRanga, Mithun Kumar. "Fixed order optimal control using genetic algorithms /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426097.
Повний текст джерелаDing, Yingjia. "Knowledge retention with genetic algorithms by multiple levels of representation." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-12052009-020026/.
Повний текст джерелаField, Paul David. "A multary theory for genetic algorithms : unifying binary and nonbinary problem representations." Thesis, Queen Mary, University of London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309083.
Повний текст джерелаSubramaniam, Velusamy. "Scheduling of manufacturing systems based on extreme value theory and genetic algorithms." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/35464.
Повний текст джерелаBoisvert, Danielle. "Rethinking Gottfredson and Hirschi's General Theory of Crime: A Behavioral Genetic Approach." Cincinnati, Ohio : University of Cincinnati, 2009. http://rave.ohiolink.edu/etdc/view.cgi?acc_num=ucin1243306307.
Повний текст джерелаAdvisor: John P. Wright. Title from electronic thesis title page (viewed July 29, 2009). Keywords: low self-control; behavioral genetics; Mx; Gottfredson and Hirschi; general theory of crime; sex differences; biosocial criminology. Includes abstract. Includes bibliographical references.
Tsai, Chen-Fang. "Improving the economic design of multiple control charts using a dynamic genetic algorithm-based program." Thesis, University of Sunderland, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360083.
Повний текст джерелаFonseca, Carlos Manuel Mira da. "Multiobjective genetic algorithms with application to control engineering problems." Thesis, University of Sheffield, 1995. http://etheses.whiterose.ac.uk/1887/.
Повний текст джерелаStreeter, Matthew J. "Automated discovery of numerical approximation formulae via genetic programming." Link to electronic thesis, 2001. http://www.wpi.edu/Pubs/ETD/Available/etd-0426101-231555.
Повний текст джерелаTitle from title screen. Keywords: genetic programming; approximations; machine learning; artificial intelligence. Includes bibliographical references (p. 92-94).
Ahnert, S. E. "Implementations of information theory in molecular dynamics, quantum measurement and genetic data analysis." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595400.
Повний текст джерелаYeates, Jessica Anne Mellor. "The Foundations of Network Dynamics in an RNA Recombinase System." PDXScholar, 2016. http://pdxscholar.library.pdx.edu/open_access_etds/2919.
Повний текст джерелаBryant, Cari Rihan. "A computational theory for the generation of solutions during early conceptual design." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.mst.edu/thesis/pdf/crb5ea_09007dcc8042a16d.pdf.
Повний текст джерелаVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 15, 2008) Includes bibliographical references (p. 236-249).
Kunt, Tomáš. "Vícekriteriální analýza portfolia na českých nebo zahraničních trzích." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-15696.
Повний текст джерелаBethelmy, David G. "Aspect Mining Using Multiobjective Genetic Clustering Algorithms." NSUWorks, 2016. http://nsuworks.nova.edu/gscis_etd/952.
Повний текст джерелаWhite, Melanie Jade. "Understanding impulsivity : molecular genetic and environmental influences." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/16578/1/Melanie_J._White_Thesis.pdf.
Повний текст джерелаWhite, Melanie Jade. "Understanding impulsivity : molecular genetic and environmental influences." Queensland University of Technology, 2008. http://eprints.qut.edu.au/16578/.
Повний текст джерелаNikram, Elham. "Three essays on game theory and computation." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/28755.
Повний текст джерелаUduman, Mohamed. "Identifying the largest complete data set from ALFRED /." Link to online version, 2006. https://ritdml.rit.edu/dspace/handle/1850/1876.
Повний текст джерелаGodley, Paul Michael. "Directed intervention crossover approaches in genetic algorithms with application to optimal control problems." Thesis, University of Stirling, 2009. http://hdl.handle.net/1893/1143.
Повний текст джерелаReif, Jochen. "Assessing the genetic diversity in crops with molecular markers theory and experimental results with CIMMYT wheat and maize elite germplasm and genetic resources /." [S.l. : s.n.], 2004. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11406735.
Повний текст джерелаGutfraind, Alexander. "Error-Tolerant Coding and the Genetic Code." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2913.
Повний текст джерелаThe main advance in this thesis is a set of methods for calculating the primordial evolutionary pressures that shaped the genetic code. These pressures are due to genetic errors, and hence the statistical properties of the errors and of the genome are imprinted in the statistical properties of the code. Thus, by studying the code it is possible to reconstruct, to some extent, the primordial error rates and the composition of the primordial genome. In this way, I find evidence that the fixation of the genetic code occurred in organisms which were not thermophiles.
Borairi, M. "Genetic design of tunable digital set-point tracking controllers for linear multivariable plants." Thesis, University of Salford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262674.
Повний текст джерелаGalal, Ushma. "The statistical theory underlying human genetic linkage analysis based on quantitative data from extended families." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_2684_1361989724.
Повний текст джерелаTraditionally in human genetic linkage analysis, extended families were only used in the analysis of dichotomous traits, such as Disease/No Disease. For quantitative traits, analyses initially focused on data from family trios (for example, mother, father, and child) or sib-pairs. Recently however, there have been two very important developments in genetics: It became clear that if the disease status of several generations of a family is known and their genetic information is obtained, researchers can pinpoint which pieces of genetic material are linked to the disease or trait. It also became evident that if a trait is quantitative (numerical), as blood pressure or viral loads are, rather than dichotomous, one has much more power for the same sample size. This led to the 
development of statistical mixed models which could incorporate all the features of the data, including the degree of relationship between each pair of family members. This is necessary because a parent-child pair definitely shares half their genetic material, whereas a pair of cousins share, on average, only an eighth. The statistical methods involved here have however been developed by geneticists, for their specific studies, so there does not seem to be a unified and general description of the theory underlying the methods. The aim of this dissertation is to explain in a unified and statistically comprehensive manner, the theory involved in the analysis of quantitative trait genetic data from extended families. The focus is on linkage analysis: what it is and what it aims to do. 
There is a step-by-step build up to it, starting with an introduction to genetic epidemiology. This includes an explanation of the relevant genetic terminology. There is also an application section where an appropriate human genetic family dataset is analysed, illustrating the methods explained in the theory sections.
Mok, Tsz-kin, and 莫子建. "Modeling, analysis and control design for the UPFC with fuzzy theory and genetic algorithm application." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224969.
Повний текст джерелаWinkleblack, Scott Kenneth swinkleb. "ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1236.
Повний текст джерелаMondraǵon, Palomino Octavio. "A numerical study of the effects of multiplicative noise on a supercritical delay induced Hopf bifurcation in a gene expression model /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=101627.
Повний текст джерела姚濬帆 and Chun-fan Yiu. "Evolutionary synthesis of time-optimal control policies." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B29866170.
Повний текст джерелаYiu, Chun-fan. "Evolutionary synthesis of time-optimal control policies /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25151058.
Повний текст джерелаCeyhan, Ozlem. "Aerodynamic Design And Optimization Of Horizontal Axis Wind Turbines By Using Bem Theory And Genetic Algorithm." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610024/index.pdf.
Повний текст джерелаRobinson, Clare. "Multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks." Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300079.
Повний текст джерелаTsai, Huai-Jie, and 蔡懷介. "Assets Prices under Genetic Algorithm and Prospect Theory." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/62053230313292736982.
Повний текст джерела國立高雄應用科技大學
金融資訊研究所
97
Efficient market hypothesis of the traditional finance assume the investors are reason in the market, but many scholars detect the phenomenons violate Efficient market hypothesis and the capital asset pricing model (CAPM). The phenomenons like January Effect, Small Firm Effect and the weekend effect. Therefore the behavioral finance replace the rational behavior in the traditional finance with normal behavior. Kahneman and Tverskey(1979) publish the Prospect Theory, the purpose explains that the investors make risk policy with different risk Preference in the different situations. But behavioral finance or traditional finance can’t break away that the first is the fixed model after proving and analysis in the study flow. My study uses the Euler equation which extends from Merton (1973) publish the intertemporal capital asset pricing model (ICAPM) then optimal utility model(Genetic Algorithm-Utility function, GA-U) uses genetic algorithm(GA) that has the ability to search the generally optimization and the return ratio data of listed companies. The intention is investor’s intertemporal marginal utility to be maximum. The compared model is Mao-wei Hung and Jr-yan Wang utility model (2005) which uses two type data group in the analysis. The first type data group are daily return which include fifty-one listed companies on the Taiwan stock market. The second type data group are daily return which include N.Y. S&P 500 Stock Index, D.J. Indus. Average(NY) and TSE Weigh.Stk.Indx-end M. Each type of data group be used to do three type of experiments which are expected value of marginal utility, error of forecast next return ratio and right way of forecast next return ratio. Last we can find GA-U to use test one year of train two year which has stable and not bad forecast ability in the first type data group. We can’t find the forecast ability of GA-U striking to win HW-U in the data of USA, but the forecast ability of GA-U has better result than HW-U in the data of Taiwan.
王正苡. "Multiobjective optimization using genetic algorithm and fuzzy theory." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/27561126267315445765.
Повний текст джерелаAngeles-Albores, David. "A Theory of Genetic Analysis Using Transcriptomic Phenotypes." Thesis, 2019. https://thesis.library.caltech.edu/11243/1/AngelesAlbores_David_2019.pdf.
Повний текст джерелаThis thesis deals with the conceptual and computational framework required to use transcriptomes as effective phenotypes for genetic analysis. I demonstrate that there are powerful theoretical reasons why Batesonian epistasis should feature prominently in transcriptional phenotypes. I also show how to compute and interpret the aggregate statistics for transcriptome-wide epistasis and transcriptome-wide dominance using whole-organism transcriptomic profiles of C. elegans mutants. Finally, I developed the WormBase Enrichment Suite for enrichment analysis of genomic data.
RNA-seq as a tool has enormous potential because it relies on protocols that are fast, simple and increasingly cheap. In spite of their potential, transcriptomes have seen their use largely limited to single-factor experiments. Even when many transcriptomes are collected, the main analytic approach is to apply clustering algorithms that correlate responses but do not have any power to identify causal mechanisms.
I demonstrate that if a complete genetic experimental design is used (in the form of a full two-factor matrix), transcriptomes can establish genetic interactions between a pair of genes without the need for clustering algorithms. Surprisingly, when we performed epistasis analyses of hypoxia pathway mutants in C. elegans we did not simply observe a generalized epistatic interaction between the mutants. In fact, the transcriptomes recapitulated the same Batesonian epistatic relationship that had been observed using classical phenotypes. In other words, we observed that the transcriptomic phenotype of one gene can be masked by the transcriptomic phenotype of a second gene, such that a double mutant of these two genes has exactly the same phenotype as a single mutant of the epistatic gene. Motivated by this observation, we developed methods to recognize and interpret Batesonian epistasis at the transcriptomic level. This method relies on the calculation of a single aggregate coefficient that we named the transcriptome-wide epistasis coefficient.
The observation that Batesonian epistasis could be reproduced on a transcriptomic level was surprising. To explain how transcriptome-wide epistasis can arise, I studied a simplified model of transcriptional regulation using statistical mechanics. These studies demonstrate that epistatic analysis is equivalent to a perturbative analysis of the partition function of a promoter. Moreover, these studies revealed that a sufficient condition for Batesonian epistasis to occur is if the two genes encode variables that are transformed and multiplied together to form an effective single compound variable. Finally, these studies clearly demonstrate the connection between statistical (or generalized) epistasis and Batesonian epistasis and establish a physical basis for genetic logic.
Genetic analyses of gene functional units can also be carried out using allelic series in tandem with complementation (also known as dominance) tests. I developed a statistical coefficient known as transcriptome-wide dominance to enable analyses of allelic series using expression profiles. A crucial aspect of allelic series is the ability to enumerate the independent phenotypes associated with an arbitrary set of alleles. I developed the concept of phenotypic classes as a transcriptomic analogue of classical phenotypes for this purpose. Briefly, a phenotypic class is a set of transcripts that are differentially expressed in a specific set of genotypes. Thus, an allelic series consisting of two mutant alleles (and a wild-type) can at most result in 7 phenotypic classes. However, some of these phenotypic classes may be artifactual as a result of the significant false positive and false negative rates that are associated with RNA-seq. I developed a simple algorithm that tries to identify phenotypic classes that are artifactual, though often these classes may also be identified through a critical evaluation of their biological implications. I applied these concepts to a small allelic series of the dpy-22 gene, which encodes a Mediator subunit in C. elegans, and identified 3–4 functional units along with their sequence requirements.
Finally, I developed the WormBase Enrichment Suite by implementing a hypergeometric test on the tissue, gene and phenotype ontology for C. elegans. The importance of this tool derives mainly from its integration to WormBase, the repository of all C. elegans knowledge, which means that the databases that are tested will undergo continuous improvement and curation, and thus will yield the most accurate results.
Mishra, Bineet, and Rakesh Kumar Patnaik. "Genetic Algorithm and its Variants: Theory and Applications." Thesis, 2009. http://ethesis.nitrkl.ac.in/199/1/FINAL_REPORT.pdf.
Повний текст джерелаHuang, Tian-Kang, and 黃添康. "Fuzzy Neural network Combining Theory of Mechanics and Genetic Fuzzy Neural network Combining Theory of Mechanics and Genetic Algorithms for Exploration of Breast Tumor." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/83c734.
Повний текст джерела國立臺北科技大學
自動化科技研究所
97
Breast cancer has been ranked the fourth leading cause of cancer deaths for females in Taiwan for the past five years in a row. It has also been reported that one of every eight women in the USA was affected by the breast cancer and the breast cancer had become the first cause of death for the female populations in the developed countries. While mammography has been the most widely used approach for early detection of breast cancers, the high false positive rate for the breast lesions using mammography has led to a high percentage of unnecessary biopsy referral, which is an expensive and disconcerting procedure. Recently, many studies have shown that it has a very high potential to use the breast sonography to reduce the number of biopsies. Nevertheless, these studies were usually made by highly experienced medical doctors and the sonographic features suggested by them were very dependent on the interpretation of the ultrasound images. First a membership function with adaptive spans under the fuzzy orthogonal condition is established to define the fuzzy set. Then using the genetic algorithms, the modulated membership factors(MMF) of membership function with adaptive span are learned automatically, so that the fuzzy inference system of automatic weighing is constructed. In this study, the fuzzy neural network is divided to premise and consequence, to establish the fuzzy modeling.