Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 454 for “"Systems Biology"”.
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Systems biology of breast cancer
Breast cancer, with an alarming incidence rate throughout the globe, has attracted significant investigations to identify disease specific biomarkers. Among these, oestrogen receptor (ER) occupies a central role where overexpression is a prognostic indication for breast cancer. The cross-talk …
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Experiment design for systems biology
Mechanism-based chemical kinetic models are increasingly being used to describe biological signaling. Such models serve to encapsulate current understanding of pathways and to enable insight into complex biological processes. Despite the growing interest in these models, a number of challenges …
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The Algebra of Systems Biology
… how they interact with each other. The goal of systems biology is to look at biological systems as a whole to understand how interactions of the parts can give rise to complex dynamics. In order to do this efficiently, new techniques have to be developed. This work shows how tools from …
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Systems Biology Analyses of Hematopoietic Cells
The focus of my thesis is to apply systems biology approaches to obtain a better understanding of complex cellular systems. In particular, my work concentrates on the function of haematological cells. The first part of the thesis applies a novel, predictive strategy to identify new regulators of a …
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Multivariate Models and Algorithms for Systems Biology
<p>Rapid advances in high-throughput data acquisition technologies, such as microarraysand next-generation sequencing, have enabled the scientists to interrogate the expression levels of tens of thousands of genes simultaneously. However, challenges remain in developingeffective computational …
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Probabilistic reasoning and inference for systems biology
One of the important challenges in Systems Biology is reasoning and performing hypotheses testing in uncertain conditions, when available knowledge may be incomplete and the experimental data may contain substantial noise. In this thesis we develop methods of probabilistic reasoning and inference …
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Global Optimization in Systems Biology and Bioinformatics
Identification of transcription factor binding motif and sites is a crucial effort to elucidate gene regulatory networks and its combinatorial problem is NP -hard. In this thesis, the problem is modeled as an integer linear program with weak assumptions on the binding pattern. A computationally …
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Systems biology of endothelial mechano-activated pathways
… these pathways interact, this thesis applies a systems biology approach through a two-step process. First, we constructed an integrated mathematical model for shear-stress-induced nitric oxide (NO) production to assemble the current understanding of this signaling system. Second, we conducted …
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The Systems Biology of the Protein Quality Control
… components in the protein quality control systems collaborate to mount an effective defense against protein aggregation, which may inspire novel therapeutics to ameliorate disease-related protein aggregates.
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Systems Biology of Host-Pathogen Protein-Protein Interactions
… will hasten the exploration of PPIs for a systems-level understanding of many understudied pathogens and uncover molecular targets for repurposing existing drugs.
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Dissecting Transcriptional Regulatory Networks with Systems Biology Approaches
… biologists. Although these data has provided us systems-level information about gene regulation, a major challenge in systems biology is to derive methodologies that will infer the underlying dynamics and mechanisms of gene regulation. This thesis research is focused on understanding these …
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SYSTEMS BIOLOGY APPROACHES TO DECIPHERING COMPLEX IMMUNE RESPONSES
… of immune responses provided by these systems approaches, we created vaccination strategies that significantly enhanced CD8+ T-cell responses in animal studies. Overall, this thesis combines high-throughput computational and experimental approaches to systematically characterize immune …
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Systems biology of diet-induced hepatic insulin resistance
… thesis was to apply a quantitative, multi-omic systems biology approach to the study of obesity-induce hepatic insulin resistance. We fed male C57BL/6J mice high-fat diets (HFD) to induce obesity and insulin resistance. In the first presented study, our group collected datasets to profile the …
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Systems Uncertainty in Systems Biology & Gene Function Prediction
… sparse datasets can lead to under-determined systems. While model parameter variation and its effects on model robustness has been well studied, most of this work has looked exclusively at accounting for variation only from measurement error. In contrast, little work has been done to isolate …
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A Systems Biology Approach to Microbiology and Cancer
Systems biology is an interdisciplinary field that focuses on elucidating complex biological processes (systems) by investigating the interactions among its components through an iterative cycle composed of data generation, data analysis and mathematical modeling. Our contributions to systems …
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Algebraic theory for discrete models in systems biology
… develops algebraic theory for discrete models in systems biology. Many discrete model types can be translated into the framework of polynomial dynamical systems (PDS), that is, time- and state-discrete dynamical systems over a finite field where the transition function for each variable is given …
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Data integration and visualization for systems biology data
Systems biology aims to understand cellular behavior in terms of the spatiotemporal interactions among cellular components, such as genes, proteins and metabolites. Comprehensive visualization tools for exploring multivariate data are needed to gain insight into the physiological processes …
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Bridging Methodological Gaps in Network-Based Systems Biology
… proteins, and other molecules. A major goal of systems biology is to understand and explain the mechanisms by which these interactions govern the cell's response to various conditions. Molecular interaction networks have proven to be a powerful representation for studying cellular behavior. …
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Towards Personalized Medicine Using Systems Biology And Machine Learning
… mechanism in each subgroup, we proposed a systems biology approach able to consider all measured gene expressing changes, thus eliminating the possibility that small but important gene changes (e.g. transcription factors) are omitted from the analysis. We showed that this approach provides …
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