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.
Results
Showing 1 to 17 of 17 for “"network motifs"”.
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Discovering User Intent Through Network Motifs and Flow-level Statistics
… identification is an important part of network and security management
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Analysing network motifs in a complex network of freight movements
Motifs are over-represented subgraphs in a complex network, and represent the building blocks of the network. There is a lack of studies that apply complex network theory in a supply chain context. In this dissertation 3-node motifs were identified and analysed in a complex network representing …
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USING NETWORK MOTIFS TO SEARCH FOR INDICATORS OF MALIGN FOREIGN ACTIVITIES IN SOCIOTECHNICAL NETWORK MODELS
… attack. However, few studies assess the social networks and businesses that own and operate CI for potential adversarial influence and fraud. For example, if an adversary wishes to access a well-defended system, they could forgo an attack and use legitimate business practices such as mergers, …
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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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Modeling Protein Regulatory Networks that Control Mammalian Cell Cycle Progression and that Exhibit Near-Perfect Adaptive Responses
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 …
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Sampling for network motif detection and estimation of Q-matrix and learning trajectories in DINA model
… sampling algorithms to address open issues in network analysis and educational assessments. The first problem we investigate is network motif detection. Network motifs are substructures that appear significantly more often in the given network than in other random networks. Motif detection is …
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A Novel Method to Detect Functional Subgraphs in Biomolecular Networks
… resulting from combining these pathways into networks have produced new insights into the complex behaviors observed in cell function assays. Unfortunately, identification of important subnetworks, or “motifs”, in these networks has been slower in development. This study focused on identifying …
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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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Distributed graph decomposition algorithms on Apache Spark
… including the discovery of frequent subgraphs or network motifs, counting triangles or graphlets, spectral analysis of networks using eigenvectors of graph Laplacian, and finding highly connected subgraphs such as cliques and quasi cliques. Unfortunately, the algorithms for solving most of the …
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Effective interactions arising from resource limitations in gene transcription networks/
Protein production in gene transcription networks relies on the availability of resources necessary for transcription and translation, such as RNA polymerase (RNAP) and ribosomes, which are found in cells in limited amounts. As various genes in a network compete for a common pool of resources, a …
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Exploring flowering gene networks in soybean and arabidopsis through transcriptome analysis
… of this thesis was to explore the flowering gene networks in soybean through an RNASeq based transcriptome analysis. Chapter One discusses the effect of three photoperiod treatments, short day (SD), long day (LD) and shift from 3 weeks LD to 1 week SD on six domesticated varieties of Glycine max; …
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Unravelling the complexity of metabolic networks
Network science provides an invaluable set of tools and techniques for improving our understanding of many important biological processes at the systems level. A network description provides a simplied view of such a system, focusing upon the interactions between a usually large number of similar …
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Taming Biological Complexity Through the Use of Symmetries
… and with the environment. In the case of gene networks, every interaction between genes is modulated by a number of different microscopic parameters and produces an overall network that is all but impossible to understand. Here we ask the question how can we possibly ”tame” this complexity in …
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Computational Systems Biology Analysis of Cell Reprogramming and Activation Dynamics
… unclear. We computationally investigated all network topologies and dynamics that are able to generate priming or tolerance in a generic three-node model. Accordingly, we found three basic priming mechanisms and one tolerance mechanism. Existing experimental evidence support these in silico …
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Computational analysis of regulatory networks using genome-scale data
… organisms such as S. Cerevisiae regulatory networks respond to the external environment, optimizing the cell at a given time for survival in this environment. Thus a yeast cell, finding itself in a sugar solution, will turn on genes to make enzymes that process the sugar to alcohol. Central …
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Stochastic processes in T-cell signaling
… microscopic level are ubiquitous in biochemical networks, due to stochastic nature of reactions and uncertainties in protein expressions. The prevalence of noise imposes further challenges for T cells to deliver biological functions reliably. The overarching theme of this thesis is to understand …
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Network Analysis and Comparative Phylogenomics of MicroRNAs and their Respective Messenger RNA Targets Using Twelve Drosophila species
… class of regulators in animal gene regulatory networks. This study describes the recovery and network analyses of a suite of homologous microRNA targets recovered through two different prediction methods for whole gene regions across twelve Drosophila species. Phylogenetic criteria under an …