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 13 of 13 for “"Omics integration"”.
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Pan-Cancer Analysis of RNA Dysregulation, Somatic Mutations, and Matrix Stiffness using Bioinformatics Approaches
… dimensions of cancer biology through multi-omics integration and computational approaches. The research is divided into three main projects. First, I developed OncoDB, an interactive database to analyze gene expression, methylation patterns, and viral interactions in cancer, revealing key …
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3D Chromatin Structure and Gene Regulation: Integrated Genome Structure, Transcriptomics and Epigenetics
… conformations, integrate them with functional genomics, and make them broadly accessible. I present a framework that combines Hi-C with expression quantitative trait loci (eQTL) data to identify statistically significant contacts and reconstruct ensembles of single-cell structures. These analyses …
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Elucidating the regulation of the Yeast Metabolic Cycle through the integration of gene expression and chromatin status
… of different statistical methodologies for the integration of chromatin status data (ChIP-Seq) and gene expression data (RNA-Seq) to better understand the YMC. The usage of regression models (N-PLS and MORE methodologies) for the omics integration allowed us for assessing the relevance of …
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The influence of the inclusion of biological knowledge in statistical methods to integrate multi-omics data
… to investigate multiple molecular layers (i.e. omics data) together. The classical statistical methods could not address the challenges of combining multiple data types, leading to the development of ad hoc methodologies, which however depend on several factors. Among those, it is important to …
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Non-linear Multi Omics Data Integration Method Using Conditional Variational Autoencoders
… have enabled the study of diseases through multi-omics data, which combines information from genome, epigenome, transcriptome, proteome, and metabolome levels. Unlike single-omics approaches that provide limited insights, multi-omics integration offers a comprehensive understanding of biological …
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Multi-omics Investigation into Alzheimer's Disease: Functional Mechanism and Early Detection
… addresses critical aspects of AD through multi-omics approach for improved understanding of underlying functional mechanisms and for improved precision in early detection. Multi-omics integration allows us to explore a wide spectrum of AD-related changes at different biological levels including …
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Large-scale inference and imputation for multi-tissue gene expression
… 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 phenomena, but faces many complexities arising from the intricacies of biomedical data. This integration problem …
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Mixture Model Approaches to Integrative Analysis of Multi-Omics Data and Spatially Correlated Genomic Data
… genomic data from different platforms (vertical integration), or improve the power of a study through aggregating the same type of genomic data across studies (horizontal integration). In this dissertation, we propose statistical methods and strategies for integrative multi-omics data in …
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ESTABLISHING IN VITRO INTESTINAL EPITHELIAL CELL MODELS IN TRANSLATIONAL ANIMAL NUTRITION
… In addition, through system biology and multi-omics integration (transcriptomics and proteomics), we have demonstrated the cytoprotective properties of n-3 PUFA in IPEC-J2 cells against LPS-induced inflammatory and metabolic damage. Specifically, in these cells, we have identified that n-3 PUFA …
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Exploring metabolomics through NMR: from early life to aging
Metabolomics occupies a unique yet demanding position in translational research. Its proximity to phenotype and its sensitivity to clinical and environmental perturbations make it a powerful tool for understanding biological processes in real-world settings. At the same time, this very sensitivity …
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Machine learning enabled bioinformatics tools for analysis of biologically diverse samples
… decades, the generation of vast volumes of multi-omics data, spanning a broad range of phenotypes. Development of advanced bioinformatics tools to identify informative biomarkers from these data becomes increasingly important. These tools are crucial to extract meaningful biomarkers from this …
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UNCOVERING LNCRNA-CHROMATIN INTERACTIONS SHAPING HUMAN MONOCYTE TO MACROPHAGE DIFFERENTIATION
… and sequenced (RADICL-seq). Using a multi-omics approach, we aim to identify regulatory roles of chromatin-associated lncRNAs in a dynamic model of monocyte to macrophage differentiation, a key process in innate immunity. To achieve this, we generated a comprehensive transcript annotation …
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Genome-scale Precision Proteomics Identifies Cancer Signaling Networks and Therapeutic Vulnerabilities
<p>Mass spectrometry (MS) based-proteomics technology has been emerging as an indispensable tool for biomedical research. But the highly diverse physical and chemical properties of the protein building blocks and the dramatic human proteome complexity largely limited proteomic profiling depth. …