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 20 of 118 for “"Biological networks"”.
-
Machine learning for biological networks
… of multiple related genes. Hence, incorporating biological interaction networks becomes a promising approach for genetic association study. On the other hand, the advance of graph learning algorithms has made it possible to build data-driven models for large graph problems. These methods …
-
Modular architecture in biological networks
… this new wealth of information into meaningful biological insights and clinical breakthroughs will require a complete overhaul both in the questions being asked, and the methodologies used to answer them. One of the largest challenges in organizing and understanding the data coming from genome …
-
Extracting information from biological networks
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 …
-
Biological Networks: Modeling and Structural Analysis
<p>Biological networks are receiving increased attention due to their importance in understanding life at the cellular level. There exist many different kinds of biological networks, and different models have been proposed for them. In this dissertation we focus on suitable network models for …
-
The Betweenness Centrality Of Biological Networks
… have generated genome-wide protein interaction networks for many organisms including Saccharomyces cerevisiae (baker's yeast), Caenorhabditis elegans (worm) and Drosophila melanogaster (fruit fly). In this thesis, we examine the vertex and edge betweenness centrality measures of these graphs. …
-
Community Structure Detection in Complex Biological Networks
… has been a large increase in the availability of biological data, such as interaction data of genes, proteins and metabolites. It is therefore necessary to develop ways in which these data can be efficiently modelled and analysed. Networks over a natural modelling framework for complex biological …
-
Modelling biological networks : topology, dynamics and generation
Networks are widely used representation of complex systems. Using network representations, both topologies and dynamics of gene regulation systems in different species and cell types were studied in this thesis. The topological structure of linear regulatory chains (LRCs) within gene regulatory …
-
Teak: A Novel Computational And Gui Software Pipeline For Reconstructing Biological Networks, Detecting Activated Biological Subnetworks, And Querying Biological Networks.
… are faced with a deluge of data from which biological insights need to be extracted and mined since the rate of data accumulation far exceeds the rate of data analysis. There is a need for computational frameworks to bridge the gap and assist researchers in their tasks. The Topology …
-
Refinement of Subnetwork Discovery Algorithm for Biological Networks
The abundance of biological experimental data from new high-throughput technologies, such as microarray data, suggests the need for new methods to study biological processes using a systems-based approach. Handling this huge volume of data requires the development of new computational methods to …
-
Methods for the estimation and application of biological networks
The advent of high-dimensional biological data from technologies like microarrays and mass spectrometers has transformed both biology and statistical theory; however, the tremendous potential of these datasets to explore the interactive behavior of genes or proteins has been largely unexplored. …
-
Statistical Methods for Inferring Latent Factors in Biological Networks
… emerged as a powerful approach for investigating biological systems as networks, enabling researchers to model interactions between components in a comprehensive and systematic manner. A fundamental question in network biology is the estimation of latent factors, such as protein or pathway …
-
Robustness and tunability in biological networks/ by Shankar Mukherji.
Cells face a core tension between studiously preventing change in certain properties from extrinsic perturbations while allowing other properties to be tuned. One way cells have resolved this tension is to utilize systems that are both robust and tunable. Systems can achieve this through network …
-
MANET and the evolution, structure and function of biological networks
U of I Only Restriction Lifted for Item 50608 on 2016-09-22T20:59:19Z.
-
Active cellular flows: biological networks, cytoplasmic streaming and swimming bacteria
… This thesis examines a diverse range of biological problems in which microscale fluid dynamics takes on a central role, spanning the organellar to the cell population scales. In the first half of the thesis, we study intracellular flows, beginning with flows inside the Endoplasmic …
-
Simulation and optimization tools to study design principles of biological networks
… wiring diagrams for a number of important biological networks. However, the design principles governing the construction and operation of these networks remain mostly unknown. To discover design principles in these networks, we investigated and developed a set of computational tools …
-
Theoretical Investigation of Biological Networks Coupled via Bottlenecks in Enzymatic Processing
… within the field, an understanding of how gene networks are affected by limited cellular components is both broad and rich with interest. Common to all cellular systems are enzymes which perform many tasks within cells without which organisms could not remain healthy. Here are presented several …
-
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 …
-
Knowledge-fused Identification of Condition-specific Rewiring of Dependencies in Biological Networks
… modeling targets the middle layer of active biological systems that orchestrate the activities of genes and proteins. Gene network modeling can provide critical information to bridge the gap between causes and effects which is essential to explain the mechanisms underlying disease. Among the …
Page 1 of 6