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Dissertations / Theses on the topic 'Regulators (Mathematics)'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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1

Fielden, Thomas Robert. "Modeling Market and Regulatory Mechanisms for Pollution Abatement with Sharp and Random Variables." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/282.

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This dissertation is motivated by the problem of uncertainty and sensitivity in business- class models such as the carbon emission abatement policy model featured in this work. Uncertain model inputs are represented by numerical random variables and a computational methodology is developed to numerically compute business-class models as if sharp inputs were given. A new description for correlation of random variables is presented that arises spontaneously within a numerical model. Methods of numerically computing correlated random variables are implemented in software and represented. The majo

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2

Hearnes, Warren E. II. "Near-optimal intelligent control for continuous set-point regulator problems via approximate dynamic programming." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/24882.

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3

Trescher, Saskia. "Estimating Gene Regulatory Activity using Mathematical Optimization." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21900.

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Die Regulation der Genexpression ist einer der wichtigsten zellulären Prozesse und steht in Zusammenhang mit der Entstehung diverser Krankheiten. Regulationsmechanismen können mit einer Vielzahl von Methoden experimentell untersucht werden, zugleich erfordert die Integration der Datensätze in umfassende Modelle stringente rechnergestützte Methoden. Ein Teil dieser Methoden modelliert die genomweite Genexpression als (lineares) Gleichungssystem über die Aktivität und Beziehungen von Transkriptionsfaktoren (TF), Genen und anderen Faktoren und optimiert die Parameter, sodass die gemessenen Expres

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4

Demberg, Thorsten. "Analyse und Expression der Komplementproteine Faktor H und Faktor I der Ratte." Doctoral thesis, [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=970362927.

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5

Zhang, Shuqin. "Mathematical models and algorithms for genetic regulatory networks." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38842828.

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6

Zhang, Shuqin, and 張淑芹. "Mathematical models and algorithms for genetic regulatory networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38842828.

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7

Ke, Ruian. "Mathematical modelling of ion regulations in fungi." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5866.

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Intracellular ion concentration and cation transporter activities are important determinants of many fundamental physiological parameters, including cell turgor, plasma membrane potential and intracellular pH. In order to maintain these parameters within physiological ranges despite external perturbations, cells regulate their transporter activities through both post-translational modifications and gene regulation. In this thesis, the ion regulations in two model fungal species, Saccharomyces cerevisiae and Aspergillus nidulans, are investigated. We use a mathematical modelling approach to gai

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8

Haspolat, Emrah. "Mathematical modelling of Arabidopsis flowering time gene regulatory network." Thesis, Northumbria University, 2018. http://nrl.northumbria.ac.uk/36266/.

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Experimental studies of the flowering of Arabidopsis Thaliana have shown that a large complex gene regulatory network (GRN) is responsible for its regulation. This process has recently been modelled with deterministic differential equations by considering the interactions between gene activators and inhibitors [Valentim et al., 2015, van Mourik et al., 2010]. However, due to the complexity of the models, the properties of the network and the roles of the individual genes cannot be deduced from the numerical solution the published work offers. In this study, deterministic and stochastic dynamic

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9

Trescher, Saskia [Verfasser]. "Estimating Gene Regulatory Activity using Mathematical Optimization / Saskia Trescher." Berlin : Humboldt-Universität zu Berlin, 2020. http://d-nb.info/1218529822/34.

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10

Panayi, Peter N. "Computation of Leopoldt's P-adic regulator." Thesis, University of East Anglia, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318088.

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11

Kang, Yanrong. "Self-regulatory training for helping students with special needs to learn mathematics." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/688.

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Previous research suggests that self-regulation interventions are effective in improving students' self-regulatory skill and school performance in a wide variety of educational domains. Inspired by social cognitive theory (Schunk & Zimmerman, 1997) and goal setting theory (Locke & Latham, 1990), I designed, implemented, and examined the beneficial impact of a two-part intervention to teacher effective self-regulation (i.e., goal setting and self-reflection) of 62 high school students with special needs (40 males, 22 females) during in-class math instruction. Results indicate that the two-part

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12

Nguyen, Lan K. "Dynamical modelling of feedback gene regulatory networks." Diss., Lincoln University, 2009. http://hdl.handle.net/10182/1340.

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Living cells are made up of networks of interacting genes, proteins and other bio-molecules. Simple interactions between network components in forms of feedback regulations can lead to complex collective dynamics. A key task in cell biology is to gain a thorough understanding of the dynamics of intracellular systems and processes. In this thesis, a combined approach of mathematical modelling, computational simulation and analytical techniques, has been used to obtain a deeper insight into the dynamical aspects of a variety of feedback systems commonly encountered in cells. These systems range

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13

Wilds, Roy. "Dynamics, function and evolution of regulatory networks." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66809.

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Biochemical regulatory networks are involved in many essential processes of life, such as maintaining homeostatic conditions, cell-cycle division, and responding to environmental stimuli. Such networks contain a staggering degree of complexity, inhibiting our ability to understand how they function. Two major challenges in quantitative biology are addressed in this thesis. First, the problem of identifying regulatory models from observational data. Second, characterizing how regulatory networks evolve. Making use of a simple regulatory model that is based on piecewise linear

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14

Mouadeb, Abdu-Nasser R. "Extension of linear quadratic regulator theory and its applications." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7535.

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Linear Quadratic Regulatory theory (L.Q.R.) has received widespread application due to its simplicity and also due to the fact that the control provided this by theory is linear in form. These features make the implication of feedback control and easy task. In contrast, nonlinear regulation lack those attractive features enjoyed by the linear regulator. Moreover, in order to obtain the feedback control, one has to solve Hamilton-Jacobi-Bellman equation which is not an easy task. Also, if solution can be obtained, implementation is not always practical. In this work, we extend the Linear Quadra

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15

Brandon, Madison Gayle. "A Mathematical Model of the Iron Regulatory Network in Aspergilus Fumigatus." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23086.

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Aspergillus fumigatus is an opportunistic fungal pathogen responsible for invasive aspergillosis in immunocompromised individuals. Current detection and treatment strategies for invasive aspergillosis, as well as other invasive fungal infections, are poor. Iron has been shown to be essential for Aspergillus fumigatus virulence. Furthermore, mechanisms in the iron regulatory network are believed to be potential drug targets since iron management in fungi is vastly different from that in mammals and other eukaryotes. Therefore a better understanding of iron homeostasis in Aspergillus fumigatus c

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16

Torzewski, Alexander. "Regulator constants of integral representations, together with relative motives over Shimura varieties." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/114472/.

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This thesis is split into three largely independent chapters. The first concerns the representation theory of Zp[G]-lattices. Specifically, we investigate regulator constants, due to Dokchitser-Dokchitser, which are isomorphism invariants of lattices whose extension of scalars to Qp is self-dual. We first show that when G has cyclic Sylow p-subgroups then regulator constants are strong invariants of permutation modules in a way that can be made precise. Our main result is then that, subject to an additional technical hypothesis on G, this can be combined with existing work of Yakovlev to provi

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17

Brown, Laura E. "Mathematical models of the gene regulatory networks underlying mesendoderm formation in amphibians." Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/13035/.

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An early event in embryo development is the formation of mesoderm, endoderm and ectoderm, known as the primary germ layers. The gene regulatory network (GRN) consisting of the regulatory mechanisms underlying the formation of mesoderm and endoderm (the mesendoderm GRN) has been extensively studied both experimentally and using mathematical models. The Xenopus GRN is complex, with much of this complexity due to large numbers of Mix and Nodal genes. Mice and humans have only single Mix and Nodal genes, meaning that the Xenopus GRN is overly complex compared with higher vertebrates. Urodele amphi

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18

Handfield, Louis-François. "Cis-regulatory modules clustering from sequence similarity." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=112632.

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I present a method that regroups cis-regulatory modules by shared sequences motifs. The goal of this approach is to search for clusters of modules that may share some function, using only sequence similarity. The proposed similarity measure is based on a variable-order Markov model likelihood scoring of sequences. I also introduce an extension of the variable-order Markov model which could better perform the required task. Results. I show that my method may recover subsets of sequences sharing a pattern in a set of generated sequences. I found that the proposed approach is successful in findin

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19

Parmar, Kiresh. "Time-delayed models of genetic regulatory networks." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/70716/.

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In this thesis I have analysed several mathematical models, which represent the dynamics of genetic regulatory networks. Methods of bifurcation analysis and direct numerical simulations were employed to study the biological phenomena that can occur due to the presence of time delays, such as stable periodic oscillations induced by Hopf bifurcations. To highlight the biological implications of time-delayed systems, different models of genetic regulatory networks as relevant to the onset and development of cancer were studied in detail, as well as genetic regulatory networks which describe the e

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20

Miró, Roig Antoni. "DYNAMIC MATHEMATICAL TOOLS FOR THE IDENTIFICATION OF REGULATORY STRUCTURES AND KINETIC PARAMETERS IN." Doctoral thesis, Universitat Rovira i Virgili, 2014. http://hdl.handle.net/10803/284043.

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En aquesta tesi presentem una metodologia sistemàtica la qual permet caracteritzar sistemes biològics dinàmics a partir de dades de series temporals. Del treball desenvolupat se’n desprenen tres publicacions. En la primera desenvolupem un mètode d’optimització global determinista basat en l’outer approximation per a la estimació de paràmetres en sistemes biològics dinàmics. El nostre mètode es basa en la reformulació d’un conjunt d’equacions diferencials ordinàries al seu equivalent algebraic mitjançant l’ús de mètodes de col•locació ortogonal, donant lloc a un problema no convex programació n

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21

Salama, Rafik A. "Computational biology approaches for studying gene regulatory network discovery and modelling." Thesis, University of Birmingham, 2011. http://etheses.bham.ac.uk//id/eprint/3039/.

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The advent of next generation sequencing has increased the gap between genome sequence data and knowledge, enhancing the need for faster means to fill this gap. The development of efficient computational biology methods to handle this gap has never been so important. Gene regulatory networks in particular have been studied widely for their role in controlling cellular behaviour, resulting in manifold phenotypic characteristics. In this thesis, I present novel techniques contributing to the discovery of gene regulatory network connections, through enhanced binding site prediction, binding site

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22

Li, Jiewei, and 李劼伟. "Stability analysis of uncertain genetic regulatory newtworks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50899788.

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Genetic regulatory network (GRN) is a fundamental research area in systems biology. This thesis studies the stability of a class of GRN models. First, a condition is proposed to ensure the robust stability of uncertain GRNs with SUM regulatory functions. It is assumed that the uncertainties are in the form of a parameter vector that determines the coefficients of the model via given functions. Then, the global asymptotic stability conditions of uncertain GRNs affected by disturbances and time delays are further explored. The conditions are obtained by solving a convex optimization problem

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23

Sharma, Sapna. "Reconstructing regulatory networks from high-throughput post-genomic data using MCMC methods." Thesis, University of Warwick, 2013. http://wrap.warwick.ac.uk/58367/.

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Modern biological research aims to understand when genes are expressed and how certain genes in uence the expression of other genes. For organizing and visualizing gene expression activity gene regulatory networks are used. The architecture of these networks holds great importance, as they enable us to identify inconsistencies between hypotheses and observations, and to predict the behavior of biological processes in yet untested conditions. Data from gene expression measurements are used to construct gene regulatory networks. Along with the advance of high-throughput technologies for measurin

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24

Sadreev, Ildar. "Mathematical modelling of inter- and intracellular signal transduction : the regulatory role of multisite interactions." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/21212.

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Signalling processes regulate various aspects of living cells via modulation of protein activity. The interactions between the signalling proteins can occur at single or multiple sites. Although single site protein interactions are relatively easy to understand, these rarely occur in living systems. It is therefore important to investigate multisite interactions. Despite the recent progress in experimental studies, the underlying molecular mechanisms and molecular functions of the multisite interactions are still not clear and therefore require systems approaches for deeper understanding, for

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25

Pinsker, Nathan. "Phytoremediation of PCB Contaminated Soil: Effectiveness and Regulatory Policy." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2404.

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The purpose of this paper was to combine available peer-reviewed literature on PCB phytoremediation and make direct comparisons using ANCOVA statistics in order to determine if and what plants are presently a viable option for the remediation of PCB contaminated soils. Pumpkin (Curbita pepo cv Howden) consistently had the top root and shoot concentrations, as well as total plant accumulation. Their consistency shows that they can be reliable in the field and the most viable option. Tall fescue and sedge were also top contenders. Due to the small sample size for many plants and accounting for s

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26

Munoz, Alvarez Daniel. "Regulatory Approaches to the Integration of Renewable and Storage Resources Into Electricity Markets." Thesis, Cornell University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10253305.

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<p> This dissertation describes regulatory approaches that encourage the efficient integration and participation of storage and distributed energy resources (DERs) in electricity markets. In particular, it aims to mitigate barriers to the entry and realization of the full value of these technologies with two approaches. </p><p> A first approach comprises a mechanism for the participation of storage resources in the wholesale market. The mechanism delineates a regulatory framework aimed (<i>i</i>) to diversify the alternatives to monetize the value of storage resources through wholesale marke

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27

Lapedriza, Alberto. "Gene regulatory network of melanocyte development." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690724.

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Greenhill et al. (2011) developed a gene regulatory network of the main genes and interactions known to play a role in melanocyte biology, and generated a mathematical model to describe the behaviour of this complex network using semi quantitative data (ISH expression data). In this project we sought to collect expression data from four genes of the melanocyte GRN (sox10, kit, mitfa and dct) to develop a quantitative model that is able to describe the data more accurately. Moreover, we intended to identify more genes that are part of the melanocyte development process to be incorporated to the

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Xozwa, Thandolwethu. "Automated statistical audit system for a government regulatory authority." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/6061.

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Governments all over the world are faced with numerous challenges while running their countries on a daily basis. The predominant challenges which arise are those which involve statistical methodologies. Official statistics to South Africa’s infrastructure are very important and because of this it is important that an effort is made to reduce the challenges that occur during the development of official statistics. For official statistics to be developed successfully quality standards need to be built into an organisational framework and form a system of architecture (Statistics New Zealand 200

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29

Naeem, Haroon. "Activity of microRNAs and transcription factors in Gene Regulatory Networks." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-141531.

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30

Yin, Weiwei. "A Mathematical Model of the Sleep-Wake Cycle." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14508.

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The daily sleep-wake cycle usually consists of three distinct states: wakefulness, non-rapid-eye-movement (NREM) and rapid-eye-movement (REM). The process of switching between different states is complex, but a common assumption is that it is regulated primarily by two processes (the circadian and the homeostatic process) via reciprocal interactions of several downstream neuron groups. These interactions not only result in often rapid transitions from one state to another, but also allow for a certain degree of bi-stability that locks the organism in a given state for some while before it swi

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31

Hofmann, Ariane Leoni. "A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/76841.

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Stochastic modeling to represent intrinsic and extrinsic noise is an important challenge in molecular systems biology. There are numerous ways to model intrinsic noise. One framework for intrinsic noise in gene regulatory networks was recently proposed within the discrete setting. In contrast, extrinsic perturbations were rarely modeled due to the complex mechanisms that contribute to its emergence. Here a discrete framework to model extrinsic noise is proposed. The interacting species of the model are represented by discrete variables and are perturbed to represent extrinsic noise. In particu

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32

Hansson, Josefin, and Annie Zhang. "Optimizing the net interest margin of a bank : An extension of the Black-Litterman model with financial regulations." Thesis, KTH, Optimeringslära och systemteori, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230701.

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A bank's business model is based on borrowing and lending, and by borrowing funds at a lower rate and lending these funds at a higher rate, the bank makes a profit. Thus, a key task in each bank's operations is to maximize its net interest margin. In addition, in optimizing the net interest margin, banks must take into account financial regulations, among others the Net Stable Funding Ratio (NSFR). In cooperation with Handelsbanken, this bachelor thesis in applied mathematics and industrial engineering aims to examine how the bank's net interest margin can be optimized. The Black-Litterman mod

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33

Jiang, Xiaoshan. "A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/42523.

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In each individual cell, there are many signaling pathways that may interact or cross talk with each other. Especially, some can sense the same signal and go through different pathways but eventually converge at some points. Therefore repetitive signal stimulations may result in intricate cell responses, among which the priming effect has been extensively studied in monocytes and macrophages as it plays an unambiguously crucial role in immunological protection against pathogen infection. Priming basically describes the phenomena that host cells can launch a dramatically enhanced response to th

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34

He, Sterling C. "A Social Emotional Learning Study| The Relationship between Organizational and Self-Regulatory Skills and Academic Achievement in Secondary Math Classes." Thesis, Mills College, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13807685.

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<p> The focus of the research is to explore how organizational and self-regulatory skills support student academic achievement in math class. The project is a mixed-methods study by taking a close look at the use of graphic organizers as a dimension of organizational and self-regulatory skills. The data sources include an online questionnaire, observation notes, individual interviews, and student semester grades. Participants completed a questionnaire about their organizational and self-regulatory skills, including how they have been using graphic organizers and taking notes. The author report

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35

Botts, Ryan T. "Recovery and Analysis of Regulatory Networks from Expression Data Using Sums of Separable Functions." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1275926172.

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36

Wollbold, Johannes [Verfasser], Peter [Akademischer Betreuer] Dittrich, Bernhard [Akademischer Betreuer] Ganter, and Reinhard [Akademischer Betreuer] Guthke. "Attribute Exploration of Gene Regulatory Processes / Johannes Wollbold. Gutachter: Peter Dittrich ; Bernhard Ganter ; Reinhard Guthke." Jena : Thüringer Universitäts- und Landesbibliothek Jena, 2012. http://d-nb.info/1018652728/34.

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Ribom, Henrik. "Consolidating Multi-Factor Models of Systematic Risk with Regulatory Capital." Thesis, KTH, Matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229070.

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To maintain solvency intimes of severe economic downturns banks and financialinstitutions keep capital cushions that reflect the risks in the balance sheet.Broadly,how much capital that is being held is a combination of external requirementsfromregulators and internal assessments of credit risk. We discuss alternatives totheBasel Pillar II capital add-on based on multi-factor models for held capitaland howthese can be applied so that only concentration (or sector) risk affects theoutcome,even in a portfolio with prominent idiosyncratic risk. Further, the stabilityandreliability of these models

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38

Defterli, Ozlem. "Modern Mathematical Methods In Modeling And Dynamics Ofregulatory Systems Of Gene-environment Networks." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613592/index.pdf.

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Inferring and anticipation of genetic networks based on experimental data and environmental measurements is a challenging research problem of mathematical modeling. In this thesis, we discuss gene-environment network models whose dynamics are represented by a class of time-continuous systems of ordinary differential equations containing unknown parameters to be optimized. Accordingly, time-discrete version of that model class is studied and improved by using different numerical methods. In this aspect, 3rd-order Heun&rsquo<br>s method and 4th-order classical Runge-Kutta method are newly intro

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Yilmaz, Fatma Bilge. "A Mathematical Modeling And Approximation Of Gene Expression Patterns By Linear And Quadratic Regulatory Relations And Analysis Of Gene Networks." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605382/index.pdf.

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This thesis mainly concerns modeling, approximation and inference of gene regulatory dynamics on the basis of gene expression patterns. The dynamical behavior of gene expressions is represented by a system of ordinary dierential equations. We introduce a gene-interaction matrix with some nonlinear entries, in particular, quadratic polynomials of the expression levels to keep the system solvable. The model parameters are determined by using optimization. Then, we provide the time-discrete approximation of our time-continuous model. We analyze the approximating model under the aspect of stabilit

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Laomettachit, Teeraphan. "Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29492.

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Mathematical modeling has become increasingly popular as a tool to study regulatory interactions within gene-protein networks. From the modelerâ s perspective, two challenges arise in the process of building a mathematical model. First, the same regulatory network can be translated into different types of models at different levels of detail, and the modeler must choose an appropriate level to describe the network. Second, realistic regulatory networks are complicated due to the large number of biochemical species and interactions that govern any physiological process. Constructing and valida

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Mazur, Johanna [Verfasser], and Stefan [Akademischer Betreuer] Körkel. "Bayesian Inference of Gene Regulatory Networks : From Parameter Estimation to Experimental Design / Johanna Mazur ; Betreuer: Stefan Körkel." Heidelberg : Universitätsbibliothek Heidelberg, 2012. http://d-nb.info/1179786017/34.

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Luo, Lingfei. "Inhibition of Hox function by the cell cycle regulator geminin." Doctoral thesis, [S.l.] : [s.n.], 2004. http://webdoc.sub.gwdg.de/diss/2004/luo/luo.pdf.

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Al-Musawi, Ahmad Jr. "COMPLEX NETWORK GROWING MODEL USING DOWNLINK MOTIFS." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3088.

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Understanding the underlying architecture of gene regulatory networks (GRNs) has been one of the major goals in systems biology and bioinformatics as it can provide insights in disease dynamics and drug development. Such GRNs are characterized by their scale-free degree distributions and existence of network motifs, which are small subgraphs of specific types and appear more abundantly in GRNs than in other randomized networks. In fact, such motifs are considered to be the building blocks of GRNs (and other complex networks) and they help achieve the underlying robustness demonstrated by most

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Singhania, Rajat. "Modeling Protein Regulatory Networks that Control Mammalian Cell Cycle Progression and that Exhibit Near-Perfect Adaptive Responses." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/37722.

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Protein regulatory networks are the hallmark of many important biological functionalities. Two of these functionalities are mammalian cell cycle progression and near-perfect adaptive responses. Modeling and simulating these functionalities are crucial stages to understanding and predicting them as systems-level properties of cells. In the context of the mammalian cell cycle, the timing of DNA synthesis, mitosis and cell division is regulated by a complex network of biochemical reactions that control the activities of a family of cyclin-dependent kinases. The temporal dynamics of this reac

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Vera-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.

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Systems biology is an emergent field focused on developing a system-level understanding of biological systems. In the last decade advances in genomics, transcriptomics and proteomics have gathered a remarkable amount data enabling the possibility of a system-level analysis to be grounded at a molecular level. The reverse-engineering of biochemical networks from experimental data has become a central focus in systems biology. A variety of methods have been proposed for the study and identification of the systemâ s structure and/or dynamics. The objective of this dissertation is to introduce

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46

Amoussouvi, Aouefa. "Transcriptional timing and noise of yeast cell cycle regulators." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21398.

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Die Genexpression ist ein stochastischer Prozess, dessen strenge Regulation einen ungestörten Zellzyklusverlauf ermöglicht. Jeglicher Stress löst eine Neuprogrammierung der Expression und somit einen Stillstand des Zellzyklus aus. Um ein besseres Verständnis des eukaryotischen Zellzyklus zu erlangen, wurde in dieser Arbeit die Fluoreszenzmikroskopie einzelner Zellen (S.cerevisiae) mit stochastischer Modellierung der Hauptregulatorgene des G1/S-Übergangs (SIC1, CLN2, CLB5) kombiniert. Mithilfe des MS2-CP-Systems wurden mRNA-Level von SIC1 in lebenden Zellen bestimmt und verschiedene Transpor

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Breitenbach, Tim [Verfasser], Thomas [Gutachter] Dandekar, and Roy [Gutachter] Gross. "A mathematical optimal control based approach to pharmacological modulation with regulatory networks and external stimuli / Tim Breitenbach ; Gutachter: Thomas Dandekar, Roy Gross." Würzburg : Universität Würzburg, 2019. http://d-nb.info/1189589230/34.

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Kupferer, Benjamin Josef [Verfasser], та Otmar [Akademischer Betreuer] Venjakob. "Two ways to compute Galois Cohomology using Lubin-Tate (φ, Γ)-modules, a Reciprocity Law and a Regulator Map / Benjamin Josef Kupferer ; Betreuer: Otmar Venjakob". Heidelberg : Universitätsbibliothek Heidelberg, 2020. http://d-nb.info/1211820823/34.

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Subramanian, Kartik. "Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/65156.

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The life cycle of Caulobacter crescentus is of interest because of the asymmetric nature of cell division that gives rise to progeny that have distinct morphology and function. One daughter called the stalked cell is sessile and capable of DNA replication, while the second daughter called the swarmer cell is motile but quiescent. Advances in microscopy combined with molecular biology techniques have revealed that macromolecules are localized in a non-homogeneous fashion in the cell cytoplasm, and that dynamic localization of proteins is critical for cell cycle progression and asymmetry. Howeve

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GRASSI, ANGELA. "Inference of gene regulation from expression data. Mathematical modeling and the design of a genomic study to investigate IFNa transcriptional response modulators." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421714.

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The main object of this thesis is the inference of gene regulation from quantitative gene expression data. This goal is of central importance for health care as complex genetic diseases such as cancer are caused by deregulation or aberrant regulation of genes. The thesis is structured into two main parts corresponding to a theoretical and a practical approach to the inference of gene regulation. In the first part of the thesis a Bayesian hierarchical model for the reconstruction of regulatory networks from gene expression microarray data is presented. In the second part of the thesis a novel e

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