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 15 of 15 for “"co-expression networks"”.
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Integrative transcriptomic approaches to analyzing plant co-expression networks
It is well documented that transcriptionally coordinated genes tend to be functionally related, and that such relationships may be conserved across different species, and even kingdoms. (Ihmels et al., 2004). Such relationships was initially utilized to reveal functional gene modules in yeast and …
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Comparative transcriptomics and co-expression networks reveal tissue- and genotype-specific responses of QDTYS to reproductive-stage drought stress in rice (Oryza sativa l.)
… rice, drought remains a major environmental constraint to rice production. While a few gene-expression profiling studies in rice in response to drought at the reproductive stage have been conducted, our knowledge of biological mechanisms in this respect is limited. Analysis tends to be …
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Understanding compound-induced histopathology in rat liver using gene expression network methods
Current drug discovery is a lengthy and costly pipeline; it takes between twelve and fifteen years and costs $1-2 billion (USD). As such, any compound failures represent a sunk cost – exacerbated if such failures occur later in the pipeline. Compound and drug induced liver injury is a significant …
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THE HOST-PATHOGEN INTERACTOME AND REGULATORY NETWORKS OF ASPERGILLUS FLAVUS PATHOGENESSIS OF ZEA MAYS: RESISTANCE IN MAIZE TO ASPERGILLUS EAR ROT AND TO AFLATOXIN ACCUMULATION
… between a pathogen and its host is a complex series of events that occurs at the molecular level and is controlled by transcriptional and protein interactions. To facilitate the understanding of these mechanisms in Aspergillus flavus and Zea mays, three approaches were taken: 1) the …
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Gene network understanding and analysis
Gene regulatory network (GRN) is a collection of regulators that interact with each other in the cell to govern the gene expression levels of mRNA and proteins. These regulators can either be DNA, RNA, protein and their complex. Transcriptional gene regulation is an important mechanisms in which an …
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Data-driven Representations in Brain Science: Modelling Approaches in Gene Expression and Neuroimaging Domains
… develop machine learning models. When no considerable prior assumption exists on the data, values are directly represented in a ``flatten'', 1-Dimensional vector space. However, it is possible to go one step further and perceive more complex relational patterns: for example, a …
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Network-based approaches towards understanding the emergence of neurodevelopmental disorders
… challenge in psychiatry. This challenge is compounded by the complexity of neurobiological organization, spanning genes to brain systems, and by the interacting influence of environmental exposures. This thesis addresses these challenges using two complementary, network-based approaches …
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Large-scale inference and imputation for multi-tissue gene expression
… cell types is essential for understanding the coordinated biological mechanisms that drive disease and characterise homoeostasis. Effective multi-tissue omics integration promises a system-wide view of human physiology, with potential to shed light on intra- and multi-tissue molecular …
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Understanding factors that affect gene co-regulation patterns
… with behavior disorders and immune system can be complex and challenging. Gene expression and network analysis can help to elucidate the main molecules and pathways that influence complex traits. The goal of these studies is to understand factors that affect gene co-regulation patterns related to …
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An integrated multi-omics approach to improve our understanding of ageing and neurodegeneration
The gut-brain axis is a complex system that begins its developmental journey in utero and becomes functionally activated by the first colonising microbiome at birth. In this research project, we have developed a computational framework to independently analyse single-nucleus transcriptomics and …
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Isoform-Specific Expression During Embryo Development in Arabidopsis and Soybean
… is a highly regulated process occurring in a complex machinery called the spliceosome. In this dissertation, I focus on identification of different splice variants and splicing factors that are produced during Arabidopsis and soybean embryo development. I developed several data analysis …
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Grapesystress: Use of systems biology and new breeding technology approaches to study water stress-resistant in grapevine plants.
… Mediterranean climates. These challenges will be compounded by heightened pest pressure and crop loss. Even though irrigation systems will expand worldwide, they will still not be sufficient to overcome the damage as the main problem is the lack of water. Therefore, the scientific community is …
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Computational Approaches to Delineate Transcriptional and Functional Heterogeneity In Pancreatic Cancer
… in <em>KRAS </em>(>90%). These tumors are highly complex ecosystems composed of molecularly distinct sub-populations that exhibit a spectrum of genetic features and associated phenotypes. Despite recent advances in the transcriptomic characterization of PDAC into at least two tumor subtypes, this …
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Songbird Brain Organization and its Molecular Convergence with Humans for Vocal Imitation Learning
… of neural cell populations and their specialized connections give rise to a suite of complex behaviors across vertebrates. The presence of common neural cell types may be a product of either shared ancestry through homology or parallel evolution through convergence. However, the extent as to which …
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Theoretical and Algorithmic Solutions for Null models in Network Theory
… of the data-driven structure and the dynamics of complex systems is rapidly imposing as the paramount paradigm [1] across a variety of disciplines, from economics to neuroscience, with biological -omics as a major example. In this framework, the concept of Null Model borrowed from the statistical …