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 41 for “"biological network"”.
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Practical Approaches to Biological Network Discovery
… to identify the structure of a transcriptional network from high-throughput experimental data. Understanding of the connectivity of a transcriptional network is an important piece of the puzzle, which relates the genotype of an organism to its phenotypes. An overwhelming number of computational …
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Distances and Stability in Biological Network Theory
… of the algorithms for the econstruction of networks. We will focus on theory, development and implementation of operative procedures and algorithms for the assessment of stability in complex networks for biological systems, with gene regulatory networks as the key example. A major issue …
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Biological Network-based Approaches to The Functional Analysis of miRNAs in Prostate Cancer
… in a complex and efficient manner to achieve biological functions and cellular phenotypes. Traditional biology studied these components one at a time, yielding limited insights about the way a cell functions. It is now apparent that the most effective way to understand how the cell works is to …
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Novel methods for biological network inference: an application to circadian Ca2+ signaling network
Biological processes involve complex biochemical interactions among a large number of species like cells, RNA, proteins and metabolites. Learning these interactions is essential to interfering artificially with biological processes in order to, for example, improve crop yield, develop new …
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Computational modeling techniques for biological network productivity increases : optimization and rate-limiting reaction detection
… high throughput measurement techniques bring the biological sciences into a 'big data' era. The vast available data for enzyme and metabolite concentrations, fluxes, and kinetics under normal or perturbed conditions in biological networks provide unprecedented opportunities to understand the cell …
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In silico cell biology and biochemistry: a systems biology approach
… One focus of this data analysis is uncovering biological network topologies and dynamics. It is believed that this kind of research will allow the development of new mathematical models of biological systems as well as aid in the improvement of already existing ones. The work that is presented …
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Mixed-Initiative Methods for Following Design Guidelines in Creative Tasks
… to these challenges in two complex tasks: biological network visualization where guidelines may conflict, and web design where task requirements are hard to check programmatically. For biological network visualization, I explore the use of crowdsourcing to scale up time-consuming manual …
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IDENTIFYING AND EXPLOITING SYNTHETIC LETHALITY FOR CANCER THERAPEUTICS
… to discover SL pairs and to utilize SL pairs in biological network mining and clinical decision support. Two new methods are designed to identify potential SL pairs using multiple genomic data sources, based on statistical hypothesis testing and collective matrix factorization. A new algorithm to …
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Multiphase flow and control of fluid path in microsystems
… small channels between processes in a chemical/biological network is crucial for connecting process elements. We show complete separation of individual phases (phase routing) from two-phase gas-liquid and liquid-liquid (aqueous-organic) mixtures on microscale. To provide for robust interfacing …
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Topological Network Alignment Based on Graphlet Degree Signature
<p>A large number of experimental biological network data of different types are becoming available due to advanced experimental techniques. Network alignment is considered to be one of the most common methods to analyze and compare biological networks to understand evolution, biological …
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Unique Signed Minimal Wiring Diagrams and the Stanley-Reisner Correspondence
<p>Biological systems are commonly represented using networks consisting of interactions between various elements in the system. Reverse engineering, a method of mathematical modeling, is used to recover how the elements in the biological network are connected. These connections are encoded using …
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Network motif prediction using generative models for graphs
… interactions between different entities in networks. Generative graph models create new graphs that mimic the properties of already existing graphs. Generative models are successful at retaining the pairwise interactions of the underlying networks but often fail to capture higher-order …
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On the structure and evolution of protein interaction networks
The study of protein interactions from the networks point of view has yielded new insights into systems biology [Bar03, MA03, RSM+02, WS98]. In particular, "network motifs" become apparent as a useful and systematic tool for describing and exploring networks [BP06, MKFV06, MSOI+02, SOMMA02, SV06]. …
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Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC)
… or proteins into an analysis of comparative biological network behaviors. One of the limitations of previous network analyses is that they do not take into account the combinatorial nature of gene interactions within the network. We report here a new technique, Differential Rank Conservation …
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Selecting high-confidence predictions from ordinary differential equation models of biological networks
… are governed by large and highly-complex networks of chemical interactions and are therefore difficult to intuit. Computational modeling provides a means of encapsulating information about these interactions and can serve as a platform for gaining understanding of the biology and making …
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New Algorithms for Mining Network Datasets: Applications to Phenotype and Pathway Modeling
Biological network data is plentiful with practically every experimental methodology giving 'network views' into cellular function and behavior. Bioinformatic screens that yield network data include, for example, genome-wide deletion screens, protein-protein interaction assays, RNA interference …
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The Integration Of Synthetic Biology With Metabolically And Phenotypically Emergent Multicellular Simulations For Medical And Other Applications
… cytohistological genetics encyclopaedia and biological network explorer, BioNexusSentinel, developed here evidenced artificial intelligence mediated development and R preprocessing as beneficial. Omics data was implicated for future parameterization of translational medical simulations, along …
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The Integration Of Synthetic Biology With Metabolically And Phenotypically Emergent Multicellular Simulations For Medical And Other Applications
… cytohistological genetics encyclopaedia and biological network explorer, BioNexusSentinel, developed here evidenced artificial intelligence mediated development and R preprocessing as beneficial. Omics data was implicated for future parameterization of translational medical simulations, along …
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