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 83 for “"complex diseases"”.
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Computational methods for dissecting multicellular mechanisms of complex diseases
… genetic regulatory mechanisms underlying common diseases and the resulting multicellular patterns of dysfunction. In the first project, I developed a method called scITD to investigate how cellular processes across distinct cell types coordinate in disease contexts. scITD identifies sets of genes …
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Joint Network Modeling of Omics Data for Understanding Complex Diseases
… molecular data due to their ability to represent complex interplay within biological sys- tems. The availability of diverse molecular data sources, stemming from advancements in high-throughput genomic technologies, encourages the development of more sophisticated models. Through the simultaneous …
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Computational analysis of effects and interactions among human variants in complex diseases
… (GWAS) found many variants associated with complex diseases. However, the biological and molecular links between these variants and phenotypes are still mostly unknown. Also, even if sample sizes are constantly increasing, the associated variants do not explain all the heritability estimated …
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Statistical methods to improve understanding of the genetic basis of complex diseases
… are required to resolve the genetic aetiology of complex human diseases including immune-mediated diseases. Essential to this process is firstly the use of genome-wide association studies (GWAS) to identify regions of the genome that determine the susceptibility to a given complex disease. …
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The Natural and Orthogonal Interaction (Noia) Models For Quantitative Traits (Qts) and Complex Diseases
… and imprinting effect detections for human complex diseases and quantitative traits. It includes three sections: (1) generalizing the Natural and Orthogonal interaction (NOIA) model for the coding technique originally developed for gene-gene (GxG) interaction and also to reduced models; (2) …
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Deconstructing complex diseases : identification of new phenotypical sub-clusters of Type 2 diabetes using machine learning
… treat certain conditions. But there are other complex and poorly characterized illnesses for which the drivers and dependent variables are not understood well enough to take full advantage of the copious patient data that may exist. For these diseases new techniques need to be explored to gain …
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Principled "convergence" non-coding rare variant association testing in complex disease
Although many genetic loci pertinent to complex diseases have been identified and despite the fact that complex diseases remain an immense burden to healthcare globally, many details about the mechanism of these diseases are still unknown. Thus far, genome-wide association studies (GWAS) have only …
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Algorithms for discovering disease genes by integrating 'omics data
<p>Systems-level characterization of complex human diseases remains as one of the biggest challenges in the post-genomic era. Information useful for mechanistic understanding of diseases comes from different types of “-omic” data, including genomic sequences, gene expression, and molecular …
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Investigation of in-situ nanoimprinting of cell surface receptors: potential of a novel technique in biomarker research
… drugs, or to predict drug efficacy. However, in complex diseases such as in cancer, biomarkers vary tremendously among patients and disease stages. Cell surface receptors, proteins that are located at the cell surface and deliver external signals into the cell, are a significant group of …
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Prioritisation of candidate genes for psychiatric disorders
… limited success in identifying causal genes for complex diseases. Bipolar disorder is one such disease whose aetiology has not been elucidated despite the application of these technologies. Candidate gene prioritisation offers a solution to limit the vast amount of possible candidate genes …
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Intron Retention Induced Neoantigen as Biomarkers in Diseases
… the transcriptome and is a significant driver of complex diseases by producing condition-specific transcripts. Recent studies have reported that mis-spliced RNA transcripts can be another major source of neoantigens directly associated with immune responses. Particularly, aberrant peptides derived …
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Network-based approach for post genome-wide association study analysis in admixed populations
… the most enriched pathways associated with complex diseases.
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Statistical Methods For Assessing Structural Change In Human & Microbial Genomes
… targeting specific biomarkers associated with complex diseases. Compared with conventional Sanger sequencing, next-generation sequencing costs much less due to massively parallel high-throughput sequencing. However, due to large numbers of short read sequences, the accuracy of high-throughput …
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Building a robust clinical diagnosis support system for childhood cancer using data mining methods
… single genetic variants associated with common diseases. However, complex diseases are not caused by a single gene acting alone but are the result of complex linear and non-linear interactions among different types of microarray data. In this scenario, a single gene can have a small effect on …
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Valuing biopharmaceutical alliances : decisions for new product development in the pharmaceutical industry : the effects of corporate downsizing on women
… of developing or marketing products that target complex diseases create less shareholder value. Finally, R&D firms that have been previously performing well do not gain as much as their more poorly performing counterparts. Chapter 3 examines the organization of new product development. Using a …
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Amyotrophic Lateral Sclerosis: An Exploration into the SOD1 Protein and a Representative Case Study
… which invariably leads to death. Like other complex diseases, no particular cause can be attributed to the great majority of ALS cases. Clear pathological mechanisms have not been elucidated, but current research is making headway into understanding superoxide dismutase 1 (SOD1), an important …
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Using network clustering to predict copy number variations associated with health disparities
… genetic variations that have been linked with complex diseases and often occur at different frequencies among African Americans and Caucasian populations. In this study, we aimed to investigate whether CNVs with differential population frequencies can contribute to health disparities from the …
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