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 10 of 10 for “"Correlation networks"”.
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Network Based Prediction of Protein Localization Using Diffusion Kernel
… localization information in a protein-protein correlation network since correlated proteins tend to be co-localized within the cell. Here we propose a novel diffusion kernel and logistic regression based algorithm, NetLoc, for protein localization prediction by exploiting protein correlation …
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Gene network understanding and analysis
… most widely studied organisms in gene regulatory networks are the Mycobacterium tuberculosis and Corynebacterium glutamicum ATCC 13032. Gene co-expression networks are of biological interests due to co-expressed genes which are controlled by the same transcriptional regulatory programs, as well …
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Characterising disease-related and developmental changes in correlation-derived structural and functional brain networks
… applying the mathematical framework of complex networks to data from magnetic resonance imaging. Connections (edges) in such brain networks are commonly constructed using correlations of features between pairs of brain regions, such as regional morphology (across participants) or …
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Community-oriented architecture for smart cities
… data collected from individuals’ smartphones to correlation networks for community detection. The proposed methods leverage not only the individuals’ groups but effectively discover communities of common interest. Two different case studies were conducted in this thesis in order to show the …
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Multivariate analysis of the immune response upon recent acquisition of Mycobacterium tuberculosis infection
… these changed pre- and post-infection using correlation networks, we found no notable differences. By comparing the recent QFT converters and the persistent QFT positives, a blood-based biomarker to distinguish between recent and established infection, namely ESAT6/CFP10-specific expression …
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Computational and Pharmacological Characterization of HDAC6 Inhibition and Function
… L2, L3, L4 and L5 have been explored. Protein correlation networks from computer trajectories are created to understand residue communication in both the monomer and dimer forms. Inhibitor – residue interactions are also monitored and important residues, in particular H139, H140, H610 and H611 …
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Parents and children together (PaCT): a tri-directional examination of parental personality, adolescent traits, parenting, and context in affecting adolescent behavioural strengths and difficulties
… 1, comprising study 1, utilised partial correlation networks and Exploratory Graph Analysis to examine the structure of the Dark Triad domains, both independently and as a cluster. Adults (Phase 1: N = 301; Phase 2: N = 224) completed six self-report questionnaires assessing Dark Triad …
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Optimised analysis and visualisation of metabolic data using graph theoretical approaches
… One method of tackling this problem, metabolic networks, is gaining popularity within the community as it offers a complementary approach to the traditional biological method for studying metabolism, the metabolic pathway. Construction methods are varied; ranging from the mapping of experimental …
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Untersuchungen zur Biosynthese der pflanzlichen Zellwand = [Identification and characterization of genes involved in plant cell wall synthesis]
Even though the structure of the plant cell wall is by and large quite well characterized, its synthesis and regulation remains largely obscure. However, it is accepted that the building blocks of the polysaccharidic part of the plant cell wall are nucleotide sugars. Thus to gain more insight into …
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Mathematical Modeling and Deconvolution for Molecular Characterization of Tissue Heterogeneity
… for detecting subtype-specific molecular networks and uncovering hidden crosstalk. However, sample-specific deconvolution is an underdetermined and challenging problem because there are more variables than observations. We propose and develop debCAM2.0 to estimate sample-specific subtype …