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Magi, Ross. "Dynamic behavior of biological membranes". Thesis, The University of Utah, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3680576.
Pełny tekst źródłaBiological membranes are important structural units in the cell. Composed of a lipid bilayer with embedded proteins, most exploration of membranes has focused on the proteins. While proteins play a vital role in membrane function, the lipids themselves can behave in dynamic ways which affect membrane structure and function. Furthermore, the dynamic behavior of the lipids can affect and be affected by membrane geometry. A novel fluid membrane model is developed in which two different types of lipids flow in a deforming membrane, modelled as a two-dimensional Riemannian manifold that resists bending. The two lipids behave like viscous Newtonian fluids whose motion is determined by realistic physical forces. By examining the stability of various shapes, it is shown that instability may result if the two lipids forming the membrane possess biophysical qualities, which cause them to respond differently to membrane curvature. By means of numerical simulation of a simplified model, it is shown that this instability results in curvature induced phase separation. Applying the simplified model to the Golgi apparatus, it is hypothesized that curvature induced phase separation may occur in a Golgi cisterna, aiding in the process of protein sorting.
In addition to flowing tangentially in the membrane, lipids also flip back and forth between the two leaflets in the bilayer. While traditionally assumed to occur very slowly, recent experiments have indicated that lipid flip-flop may occur rapidly. Two models are developed that explore the effect of rapid flip-flop on membrane geometry and the effect of a pH gradient on the distribution of charged lipids in the leaflets of the bilayer. By means of a stochastic model, it is shown that even the rapid flip-flop rates observed are unlikely to be significant inducers of membrane curvature. By means of a nonlinear Poisson- Boltzmann model, it is shown that pH gradients are unlikely to be significant inducers of bilayer asymmetry under physiological conditions.
Chindelevitch, Leonid Alexandrovich. "Extracting information from biological networks". Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/64607.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (p. 175-194).
Systems biology, the study of biological systems in a holistic manner, has been catalyzed by a dramatic improvement in experimental techniques, coupled with a constantly increasing availability of biological data. The representation and analysis of this heterogeneous data is facilitated by the powerful abstraction of biological networks. This thesis examines several types of these networks and looks in detail at the kind of information their analysis can yield. The first part discusses protein interaction networks. We introduce a new algorithm for the pairwise alignment of these networks. We show that these alignments can provide important clues to the function of proteins as well as insights into the evolutionary history of the species under examination. The second part discusses regulatory networks. We present an approach for validating putative drug targets based on the information contained in these networks. We show how this approach can also be used to discover drug targets. The third part discusses metabolic networks. We provide new insights into the structure of constraint-based models of cell metabolism and describe a methodology for performing a complete analysis of a metabolic network. We also present an implementation of this methodology and discuss its application to a variety of problems related to the metabolism of bacteria. The final part describes an application of our methodology to Mycobacterium tuberculosis, the pathogen responsible for almost 2 million deaths around the world every year. We introduce a method for reconciling metabolic network reconstructions and apply it to merge the two published networks for tuberculosis. We analyze the merged network and show how it can be refined based on available experimental data to improve its predictive power. We conclude with a list of potential drug targets.
by Leonid Alexandrovich Chindelevitch.
Ph.D.
Altschul, Stephen Frank. "Aspects of biological sequence comparison". Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/102708.
Pełny tekst źródłaThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Bibliography: leaves 165-168.
by Stephen Frank Altschul.
Ph.D
Orme, Belinda Abigail Amanda. "Biological mixing and chaos". Thesis, University of Birmingham, 2002. http://etheses.bham.ac.uk//id/eprint/7637/.
Pełny tekst źródłaTucker, George Jay. "Statistical methods to infer biological interactions". Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/89874.
Pełny tekst źródłaThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
169
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 153-170).
Biological systems are extremely complex, and our ability to experimentally measure interactions in these systems is limited by inherent noise. Technological advances have allowed us to collect unprecedented amounts of raw data, increasing the need for computational methods to disentangle true interactions from noise. In this thesis, we focus on statistical methods to infer two classes of important biological interactions: protein-protein interactions and the link between genotypes and phenotypes. In the first part of the thesis, we introduce methods to infer protein-protein interactions from affinity purification mass spectrometry (AP-MS) and from luminescence-based mammalian interactome mapping (LUMIER). Our work reveals novel context dependent interactions in the MAPK signaling pathway and insights into the protein homeostasis machinery. In the second part, we focus on methods to understand the link between genotypes and phenotypes. First, we characterize the effects of related individuals on standard association statistics for genome-wide association studies (GWAS) and introduce a new statistic that corrects for relatedness. Then, we introduce a statistically powerful association testing framework that corrects for confounding from population structure in large scale GWAS. Lastly, we investigate regularized regression for phenotype prediction from genetic data.
by George Jay Tucker.
Ph. D.
Breitsch, Nathan W. "Techniques for the Study of Biological Coupled Oscillator Systems". Ohio University Honors Tutorial College / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1399892563.
Pełny tekst źródłaMontenegro-Johnson, Thomas D. "Microscopic swimming in biological fluids". Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/4220/.
Pełny tekst źródłaSeier, Edith, i Karl H. Joplin. "Introduction to STATISTICS in a Biological Context". Digital Commons @ East Tennessee State University, 2011. http://amzn.com/1463613377.
Pełny tekst źródłaCaberlin, Martin D. "Stiff ordinary and delay differential equations in biological systems". Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29416.
Pełny tekst źródłaYu, Yun William. "Compressive algorithms for search and storage in biological data". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112879.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (pages 187-197).
Disparate biological datasets often exhibit similar well-defined structure; efficient algorithms can be designed to exploit this structure. In this doctoral thesis, we present a framework for similarity search based on entropy and fractal dimension; here, we prove that a clustered search algorithm scales in time with metric entropy number of covering hyperspheres-if the fractal dimension is low. Using these ideas, entropy-scaling versions of standard bioinformatics search tools can be designed, including for small-molecule, metagenomics, and protein structure search. This 'compressive acceleration' approach taking advantage of redundancy and sparsity in biological data can be leveraged also for next-generation sequencing (NGS) read mapping. By pairing together a clustered grouping over similar reads and a homology table for similarities in the human genome, our CORA framework can accelerate all-mapping by several orders of magnitude. Additionally, we also present work on filtering empirical base-calling quality scores from Next Generation Sequencing data. By using the sparsity of k-mers of sufficient length in the human genome and imposing a human prior through the use of frequent k-mers in a large corpus of human DNA reads, we are able to quickly discard over 90% of the information found in those quality scores while retaining or even improving downstream variant-calling accuracy. This filtering step allows for fast lossy compression of quality scores.
by Yun William Yu.
Ph. D.
Armond, Jonathan William. "Forces in a biological context". Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/4480/.
Pełny tekst źródłaSinfield, James Lister. "Synchronization and causality in biological networks". Thesis, University of Warwick, 2009. http://wrap.warwick.ac.uk/3789/.
Pełny tekst źródłaRackauckas, Christopher Vincent. "Simulation and Control of Biological Stochasticity". Thesis, University of California, Irvine, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10827971.
Pełny tekst źródłaStochastic models of biochemical interactions elucidate essential properties of the network which are not accessible to deterministic modeling. In this thesis it is described how a network motif, the proportional-reversibility interaction with active intermediate states, gives rise to the ability for the variance of biochemical signals to be controlled without changing the mean, a property designated as mean-independent noise control (MINC). This noise control is demonstrated to be essential for macro-scale biological processes via spatial models of the zebrafish hindbrain boundary sharpening. Additionally, the ability to deduce noise origin from the aggregate noise properties is shown.
However, these large-scale stochastic models of developmental processes required significant advances in the methodology and tooling for solving stochastic differential equations. Two improvements to stochastic integration methods, an efficient method for time stepping adaptivity on high order stochastic Runge-Kutta methods termed Rejection Sampling with Memory (RSwM) and optimal-stability stochastic Runge-Kutta methods, are combined to give over 1000 times speedups on biological models over previously used methodologies. In addition, a new software for solving differential equations in the Julia programming language is detailed. Its unique features for handling complex biological models, along with its high performance (routinely benchmarking as faster than classic C++ and Fortran integrators of similar implementations) and new methods, give rise to an accessible tool for simulation of large-scale stochastic biological models.
Mao, Dong. "Biological time series classification via reproducing kernels and sample entropy". Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2008. http://wwwlib.umi.com/cr/syr/main.
Pełny tekst źródłaWittenberg, Ralf W. "Models of self-organization in biological development". Master's thesis, University of Cape Town, 1993. http://hdl.handle.net/11427/17405.
Pełny tekst źródłaIn this thesis we thus wish to consider the concept of self-organization as an overall paradigm within which various theoretical approaches to the study of development may be described and evaluated. In the process, an attempt is made to give a fair and reasonably comprehensive overview of leading modelling approaches in developmental biology, with particular reference to self-organization. The work proceeds from a physical or mathematical perspective, but not unduly so - the major mathematical derivations and results are relegated to appendices - and attempts to fill a perceived gap in the extant review literature, in its breadth and attempted impartiality of scope. A characteristic of the present account is its markedly interdisciplinary approach: it seeks to place self-organization models that have been proposed for biological pattern formation and morphogenesis both within the necessary experimentally-derived biological framework, and in the wider physical context of self-organization and the mathematical techniques that may be employed in its study. Hence the thesis begins with appropriate introductory chapters to provide the necessary background, before proceeding to a discussion of the models themselves. It should be noted that the work is structured so as to be read sequentially, from beginning to end; and that the chapters in the main text were designed to be understood essentially independently of the appendices, although frequent references to the latter are given. In view of the vastness of the available information and literature on developmental biology, a working knowledge of embryological principles must be assumed. Consequently, rather than attempting a comprehensive introduction to experimental embryology, chapter 2 presents just a few biological preliminaries, to 'set the scene', outlining some of the major issues that we are dealing with, and sketching an indication of the current status of knowledge and research on development. The chapter is aimed at furnishing the necessary biological, experimental background, in the light of which the rest of the thesis should be read, and which should indeed underpin and motivate any theoretical discussions. We encounter the different hierarchical levels of description in this chapter, as well as some of the model systems whose experimental study has proved most fruitful, some of the concepts of experimental embryology, and a brief reference to some questions that will not be addressed in this work. With chapter 3, we temporarily move away from developmental biology, and consider the wider physical and mathematical concepts related to the study of self-organization. Here we encounter physical and chemical examples of spontaneous structure formation, thermodynamic considerations, and different approaches to the description of complexity. Mathematical approaches to the dynamical study of self-organization are also introduced, with specific reference to reaction-diffusion equations, and we consider some possible chemical and biochemical realizations of self-organizing kinetics. The chapter may be read in conjunction with appendix A, which gives a somewhat more in-depth study of reaction-diffusion equations, their analysis and properties, as an example of the approach to the analysis of self-organizing dynamical systems and mathematically-formulated models. Appendix B contains a more detailed discussion of the Belousov-Zhabotinskii reaction, which provides a vivid chemical paradigm for the concepts of symmetry-breaking and self-organization. Chapter 3 concludes with a brief discussion of a model biological system, the cellular slime mould, which displays rudimentary development and has thus proved amenable to detailed study and modelling. The following two chapters form the core of the thesis, as they contain discussions of the detailed application of theoretical concepts and models, largely based on self-organization, to various developmental situations. We encounter a diversity of models which has arisen largely in the last quarter century, each of which attempts to account for some aspect of biological pattern formation and morphogenesis; an aim of the discussion is to assess the extent of the underlying unity of these models in terms of the self-organization paradigm. In chapter 4 chemical pre-patterns and positional information are considered, without the overt involvement of cells in the patterning. In chapter 5, on the other hand, cellular interactions and activities are explicitly taken into account; this chapter should be read together with appendix C, which contains a brief introduction to the mathematical formulation and analysis of some of the models discussed. The penultimate chapter, 6, considers two other approaches to the study of development; one of these has faded away, while the other is still apparently in the ascendant. The assumptions underlying catastrophe theory, the value of its applications to developmental biology and the reasons for its decline in popularity, are considered. Lastly, discrete approaches, including the recently fashionable cellular automata, are dealt with, and the possible roles of rule-based interactions, such as of the so-called L-systems, and of fractals and chaos are evaluated. Chapter 7 then concludes the thesis with a brief assessment of the value of the self-organization concept to the study of biological development.
O'Keeffe, Stephen George. "The mechanics of growth and residual stress in biological cylinders". Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:493473f6-b952-4ce3-a2e5-1a79e97afb7f.
Pełny tekst źródłaNjagarah, Hatson John Boscoh. "Modelling water-borne infections : the impact of hygiene, metapopulation movements and the biological control of cholera". Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95972.
Pełny tekst źródłaENGLISH ABSTRACT: Water-borne infections have been a menace in many countries around the globe, claiming millions of lives. Cholera in particular has spread to all continents and now on its seventh epidemic. Although control measures have been continually developed through sanitation, vaccination and rehydration, the infection still devastates populations whenever there is an outbreak. In this research work, mathematical models for cholera transmission dynamics with focus on the impact of sanitation and hygiene, metapopulation spread, optimal control and biological control using a bacteriophage specific for pathogenic Vibrio cholerae are constructed and analysed. Vital analyses for the models are precisely given as well as numerical results depicting long term behaviour and the evolution of populations over time. The results of our analysis indicate that; improved sanitation and hand-hygiene are vital in reducing cholera infections; the spread of disease across metapopulations characterised by exchange of individuals and no cross community infection is associated with synchronous fluctuation of populations in both adjacent communities; during control of cholera, the control measures/efforts ought to be optimal especially at the beginning of the epidemic where the outbreak is often explosive in nature; and biological control if well implemented would avert many potential infections by lowering the concentration of pathogenic vibrios in the aquatic environment to values lower than the infectious dose.
AFRIKAANSE OPSOMMING: Water-infeksies is ’n bedreiging in baie lande regoor die wêreld en eis miljoene lewens. Cholera in die besonder, het op sy sewende epidemie na alle kontinente versprei. Hoewel beheermaatreëls voortdurend ontwikkel word deur middel van higiëne, inentings en rehidrasie, vernietig die infeksie steeds bevolkings wanneer daar ’n uitbraak voorkom. In hierdie navorsingswerk, word wiskundige modelle vir cholera-oordrag dinamika met die fokus op die impak van higiëne, metabevolking verspreiding, optimale beheer en biologiese beheer met behulp van ’n bakteriofaag spesifiek vir patogene Vibrio cholerae gebou en ontleed. Noodsaaklike ontledings vir die modelle is gegee sowel as numeriese resultate wat die langtermyn gedrag uitbeeld en die ontwikkeling van die bevolking oor tyd. Die resultate van ons ontleding dui daarop dat; verbeterde higiëne is noodsaaklik in die vermindering van cholera infeksies; die verspreiding van die siekte oor metapopulaties gekenmerk deur die uitruil van individue en geen kruis gemeenskap infeksie wat verband houmet sinchrone skommeling van bevolkings in beide aangrensende gemeenskappe; tydens die beheer van cholera,behoort die beheermaatreëls/pogings optimaal te wees veral aan die begin van die epidemie waar die uitbreking dikwels plofbaar in die natuur is; en biologiese beheer, indien dit goed geïmplementeer word, kan baie potensiële infeksies voorkom deur ’n vermindering in die konsentrasie van patogene vibrio in die water tot waardes laer as die aansteeklike dosis.
Gill, Mandeep Singh. "Application of software engineering methodologies to the development of mathematical biological models". Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:35178f3a-7951-4f1c-aeab-390cdd622b05.
Pełny tekst źródłaDegasperi, Andrea. "Multi-scale modelling of biological systems in process algebra". Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/2946/.
Pełny tekst źródłaPrice, Candice Renee. "A biological application for the oriented skein relation". Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3369.
Pełny tekst źródłaWang, Shu. "Information Theoretic Analysis of A Biological Signal Transduction System". Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1526393370364409.
Pełny tekst źródłaMoses, Gregory J. "Dynamical Systems In Biological Modeling: Clustering In the Cell Division Cycle of Yeast". Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1438170442.
Pełny tekst źródłaHarrison, Nigel. "Modelling chemotactic motion of cells in biological tissue with applications to embryogenesis". Thesis, University of Liverpool, 2012. http://livrepository.liverpool.ac.uk/10093/.
Pełny tekst źródłaKeller, Peter, Sylvie Roelly i Angelo Valleriani. "A quasi-random-walk to model a biological transport process". Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6358/.
Pełny tekst źródłaKirkham, Sharon Kaye. "On the mathematical modelling of cerebral autoregulation". Thesis, University of Southampton, 2001. https://eprints.soton.ac.uk/50623/.
Pełny tekst źródłaWarren, Christopher. "Synthesis, Characterization, and Functionalization of Magnetic Iron Nanoparticles for Enhanced Biological Applications". VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3283.
Pełny tekst źródłaMangan, Niall Mari. "Organization and diffusion in biological and material fabrication problems". Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11130.
Pełny tekst źródłaHuang, Tien Liang. "Design, synthesis, and biological evaluation of inhibitors for N⁸-acetyspermidine deacetglase and spermidine N⁸-acetytransferase". Scholarly Commons, 1989. https://scholarlycommons.pacific.edu/uop_etds/2179.
Pełny tekst źródłaGupta, Manish. "Complexity Reduction for Near Real-Time High Dimensional Filtering and Estimation Applied to Biological Signals". Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493389.
Pełny tekst źródłaEngineering and Applied Sciences - Applied Math
Yates, Phillip. "An Inferential Framework for Network Hypothesis Tests: With Applications to Biological Networks". VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/2200.
Pełny tekst źródłaPatke, Usha. "Inquiry-based laboratory investigations and student performance on standardized tests in biological science". ScholarWorks, 2011. https://scholarworks.waldenu.edu/dissertations/1089.
Pełny tekst źródłaQin, Yu. "Computations and Algorithms in Physical and Biological Problems". Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11478.
Pełny tekst źródłaEngineering and Applied Sciences
Shimizu, Kristen N. M. "Water quality monitoring of biological contaminants -- rapid, on-site detection technologies". Scholarly Commons, 2012. https://scholarlycommons.pacific.edu/uop_etds/824.
Pełny tekst źródłaGilbert, Mark. "Modelling species invasions in heterogeneous landscapes". Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:944d15d3-257a-47e5-acb9-9bdfba26985b.
Pełny tekst źródłaVenkataraman, Chandrasekhar. "Reaction-diffusion systems on evolving domains with applications to the theory of biological pattern formation". Thesis, University of Sussex, 2011. http://sro.sussex.ac.uk/id/eprint/6908/.
Pełny tekst źródłaKabolizadeh, Peyman. "Mechanisms of Accumulation and Biological Consequences of Polynuclear Platinum Compounds". VCU Scholars Compass, 2007. http://hdl.handle.net/10156/1913.
Pełny tekst źródłaBickham, Anna V. "Microfabricated Fluidic Devices for Biological Assays and Bioelectronics". BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8470.
Pełny tekst źródłaSmith, Martha Anne. "The organizational culture of the academic department: A case study of a Department of Biological Sciences". W&M ScholarWorks, 1992. https://scholarworks.wm.edu/etd/1539618811.
Pełny tekst źródłaKarmakar, Saurav. "Statistical Stability and Biological Validity of Clustering Algorithms for Analyzing Microarray Data". Digital Archive @ GSU, 2005. http://digitalarchive.gsu.edu/math_theses/3.
Pełny tekst źródłaBenkirane, Soufiene. "Process algebra for epidemiology : evaluating and enhancing the ability of PEPA to describe biological systems". Thesis, University of Stirling, 2011. http://hdl.handle.net/1893/3603.
Pełny tekst źródła吳寶明 i Baoming Wu. "Image-based monitoring and wavelet multi-rhythm analysis of long-term locomotor activity". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31242467.
Pełny tekst źródłaWu, Baoming. "Image-based monitoring and wavelet multi-rhythm analysis of long-term locomotor activity". Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23273148.
Pełny tekst źródłaHengenius, James B. "Quantitative modeling of spatiotemporal systems| Simulation of biological systems and analysis of error metric effects on model fitting". Thesis, Purdue University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3687049.
Pełny tekst źródłaUnderstanding the biophysical processes underlying biological and biotechnological processes is a prerequisite for therapeutic treatments and technological innovation. With the exponential growth of computational processing speed, experimental findings in these fields have been complemented by dynamic simulations of developmental signaling and genetic interactions. Models provide means to evaluate "emergent" properties of systems sometimes inaccessible by reductionist approaches, making them test beds for biological inference and technological refinement.
The complexity and interconnectedness of biological processes pose special challenges to modelers; biological models typically possess a large number of unknown parameters relative to their counterparts in other physical sciences. Estimating these parameter values requires iterative testing of parameter values to find values that produce low error between model and data. This is a task whose length grows exponentially with the number of unknown parameters. Many biological systems require spatial representation (i.e., they are not well-mixed systems and change over space and time). Adding spatial dimensions complicates parameter estimation by increasing computational time for each model evaluation. Defining error for model-data comparison is also complicated on spatial domains. Different metrics compare different features of data and simulation, and the desired features are dependent on the underlying research question.
This dissertation documents the modeling, parameter estimation, and simulation of two spatiotemporal modeling studies. Each study addresses an unanswered research question in the respective experimental system. The former is a 3D model of a nanoscale amperometric glucose biosensor; the model was used to optimize the sensor's design for improved sensitivity to glucose. The latter is a 3D model of the developmental gap gene system that helps establish the bodyplan of Drosophila melanogaster; I wished to determine if the embryo's geometry alone was capable of accounting for observed spatial distributions of gap gene products and to infer feasible genetic regulatory networks (GRNs) via parameter estimation of the GRN interaction terms. Simulation of the biosensor successfully predicted an optimal electrode density on the biosensor surface, allowing us to fabricate improved biosensors. Simulation of the gap gene system on 1D and 3D embryonic demonstrated that geometric effects were insufficient to produce observed distributions when simulated with previously reported GRNs. Noting the effects of the error definition on the outcome of parameter estimation, I conclude with a characterization of assorted error definitions (objective functions), describe data characteristics to which they are sensitive, and end with a suggested procedure for objective function selection. Choice of objective function is important in parameter estimation of spatiotemporal system models in varied biological and biotechnological disciplines.
Riojas, Amanda G. "Application of the Correlation Consistent Composite Approach to Biological Systems and Noncovalent Interactions". Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc801886/.
Pełny tekst źródłaBenedetti, Brad. "Drug Design, Biological Activity, and Metabolic Consequences of Cytotoxic Platinum Compounds: Utilizing Fluorescent Tagging to Understand Drug Action and Metabolism". VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/195.
Pełny tekst źródłaVera-Licona, Martha Paola. "Algorithms for modeling and simulation of biological systems; applications to gene regulatory networks". Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28073.
Pełny tekst źródłaPh. D.
Kirkegaard, Julius Bier. "Physical and stochastic aspects of microorganism behaviour". Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277543.
Pełny tekst źródłaAlexopoulos, Eftichia. "Crystallographic and modeling studies of intermolecular interactions of biological interest". Doctoral thesis, [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=972659137.
Pełny tekst źródłaWeber, Nathanial. "Native and Community College Transfer Students in Biological Sciences at a Four-Year Institution: A Comparative Study". Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etd/3329.
Pełny tekst źródłaWolfrum, Bernhard. "Cavitation and shock wave effects on biological systems". Doctoral thesis, [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971895082.
Pełny tekst źródła