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Dissertations / Theses on the topic 'Integrative Omics Analysis'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Ding, Hao. "Visualization and Integrative analysis of cancer multi-omics data." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1467843712.

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2

Kim, Jieun. "Computational tools for the integrative analysis of muti-omics data to decipher trans-omics networks." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28524.

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Regulatory networks define the phenotype, morphology, and function of cells. These networks are built from the basic building blocks of the cell—DNA, RNA, and proteins—and cut across the respective omics layers—genome, transcriptome, and proteome. The resulting omics networks depict a near infinite possibility of nodes and edges that intricately connect the ‘omes’. With the rapid advancement in the technologies that generate omics data in bulk samples and now at single-cell resolution, the field of life sciences is now met with the challenge to connect these omes to generate trans-omics networ

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3

Toprak, Umut [Verfasser], and Benedikt [Akademischer Betreuer] Brors. "Integrative Analysis of Omics Datasets / Umut Toprak ; Betreuer: Benedikt Brors." Heidelberg : Universitätsbibliothek Heidelberg, 2019. http://d-nb.info/1201088291/34.

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4

Kim, Taiyun. "Development of statistical methods for integrative omics analysis in precision medicine." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28838.

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Precision medicine is an integrative approach to the prevention and treatment of complex diseases such as cardiovascular disease that considers an individual’s lifestyle, clinical information, and omics profile. In the last decade, the advances in omics technologies have allowed researchers to gain insight into biological systems and progress to precision medicine. Many omics technology now enables us to rapidly generate, store and analyse data at a large scale. Many efforts have attempted to integrate large-scale multi-batch and multi-omics data. While many strategies have been developed, cha

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5

Hernández, de Diego Rafael. "Development of bioinformatics resources for the integrative analysis of Next Generation omics data." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/91227.

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The advances in high-throughput sequencing techniques and the technological development accompanying them have favoured the development and popularisation of a new range of genomic research disciplines, collectively known as the omics. These technologies are capable of simultaneously measuring thousands of molecules which are essential for life, including DNA, RNA, proteins, and metabolites. Historically, classical genomic research has followed a reductionist approach by studying the structure, regulation, and function of these biological units independently. However, despite being a powerful

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6

Bockmayr, Michael [Verfasser]. "Integrative analysis of "omics" data and histopathological features in breast and ovarian cancer / Michael Bockmayr." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2017. http://d-nb.info/1126504262/34.

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7

Ronen, Jonathan. "Integrative analysis of data from multiple experiments." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21612.

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Auf die Entwicklung der Hochdurchsatz-Sequenzierung (HTS) folgte eine Reihe von speziellen Erweiterungen, die erlauben verschiedene zellbiologischer Aspekte wie Genexpression, DNA-Methylierung, etc. zu messen. Die Analyse dieser Daten erfordert die Entwicklung von Algorithmen, die einzelne Experimenteberücksichtigen oder mehrere Datenquellen gleichzeitig in betracht nehmen. Der letztere Ansatz bietet besondere Vorteile bei Analyse von einzelligen RNA-Sequenzierung (scRNA-seq) Experimenten welche von besonders hohem technischen Rauschen, etwa durch den Verlust an Molekülen durch die Behandlung

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8

Meng, Chen [Verfasser], Bernhard [Akademischer Betreuer] Küster, and Dmitrij [Akademischer Betreuer] Frischmann. "Application of multivariate methods to the integrative analysis of high-throughput omics data / Chen Meng. Betreuer: Bernhard Küster. Gutachter: Bernhard Küster ; Dmitrij Frischmann." München : Universitätsbibliothek der TU München, 2016. http://d-nb.info/1082347299/34.

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9

Abily-Donval, Lénaïg. "Exploration des mécanismes physiopathologiques des mucopolysacharidoses et de la maladie de Fabry par approches "omiques" et modulation de l'autophagie. Urinary metabolic phenotyping of mucopolysaccharidosis type I combining untargeted and targeted strategies with data modeling Unveiling metabolic remodeling in mucopolysaccharidosis type III through integrative metabolomics and pathway analysis." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMR108.

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Les pathologies lysosomales sont des maladies liées au déficit quantitatif ou qualitatif d’une hydrolase ou d’un transporteur à l’origine d’une atteinte multiviscérale potentiellement sévère. Certaines de ces pathologies sont accessibles à des traitements mais ces thérapeutiques sont uniquement symptomatiques et ne guérissent pas les patients. Même si le phénomène de surcharge peut expliquer entre autres la symptomatologie observée, la physiopathologie de ces maladies est complexe et non précisément connue. Une meilleure connaissance de ces pathologies pourrait permettre d’améliorer leur prise

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10

Ayati, Marzieh. "Algorithms to Integrate Omics Data for Personalized Medicine." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1527679638507616.

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11

Lu, Yingzhou. "Multi-omics Data Integration for Identifying Disease Specific Biological Pathways." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83467.

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Pathway analysis is an important task for gaining novel insights into the molecular architecture of many complex diseases. With the advancement of new sequencing technologies, a large amount of quantitative gene expression data have been continuously acquired. The springing up omics data sets such as proteomics has facilitated the investigation on disease relevant pathways. Although much work has previously been done to explore the single omics data, little work has been reported using multi-omics data integration, mainly due to methodological and technological limitations. While a single om

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12

Lin, Yingxin. "Statistical modelling and machine learning for single cell data harmonisation and analysis." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28034.

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Technological advances such as large-scale single-cell profiling have exploded in recent years and enabled unprecedented understanding of the behaviour of individual cells. Effectively harmonising multiple collections and different modalities of single-cell data and accurately annotating cell types using reference, which we consider as the step of “intermediate data analysis” in this thesis, serve as a foundation for the downstream analysis to uncover biological insights from single-cell data. This thesis proposed several statistical modelling and machine learning methods to address several ch

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13

Schurmann, Claudia [Verfasser]. "Analysis and Integration of Complex Omics Data of the SHIP Study / Claudia Schurmann." Greifswald : Universitätsbibliothek Greifswald, 2013. http://d-nb.info/1042077789/34.

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14

Hafez, Khafaga Ahmed Ibrahem 1987. "Bioinformatics approaches for integration and analysis of fungal omics data oriented to knowledge discovery and diagnosis." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2021. http://hdl.handle.net/10803/671160.

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Aquesta tesi presenta una sèrie de recursos bioinformàtics desenvolupats per a donar suport en l'anàlisi de dades de NGS i altres òmics en el camp d'estudi i diagnòstic d'infeccions fúngiques. Hem dissenyat tècniques de computació per identificar nous biomarcadors i determinar potencial trets de resistència, pronosticant les característiques de les seqüències d'ADN/ARN, i planejant estratègies optimitzades de seqüenciació per als estudis de hoste-patogen transcriptomes (Dual RNA-seq). Hem dissenyat i desenvolupat tambe una solució bioinformàtica composta per un component de costat de servidor

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15

Bylesjö, Max. "Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets." Doctoral thesis, Umeå universitet, Kemi, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1616.

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With the increasing availability of high-throughput systems for parallel monitoring of multiple variables, e.g. levels of large numbers of transcripts in functional genomics experiments, massive amounts of data are being collected even from single experiments. Extracting useful information from such systems is a non-trivial task that requires powerful computational methods to identify common trends and to help detect the underlying biological patterns. This thesis deals with the general computational problems of classifying and integrating high-dimensional empirical data using a latent variabl

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16

Bylesjö, Max. "Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets /." Umeå : Chemistry Kemi, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1616.

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17

Schneider, Lara Kristina [Verfasser], and Hans-Peter [Akademischer Betreuer] Lenhof. "Multi-omics integrative analyses for decision support systems in personalized cancer treatment / Lara Kristina Schneider ; Betreuer: Hans-Peter Lenhof." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2020. http://d-nb.info/1213723973/34.

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18

Sass, Steffen Martin [Verfasser], Fabian J. [Akademischer Betreuer] Theis, and Hans-Werner [Akademischer Betreuer] Mewes. "Integration of multiple omics levels for the analysis of adipocyte differentiation / Steffen Martin Sass. Gutachter: Fabian J. Theis ; Hans-Werner Mewes. Betreuer: Fabian J. Theis." München : Universitätsbibliothek der TU München, 2015. http://d-nb.info/1071370014/34.

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19

Voillet, Valentin. "Approche intégrative du développement musculaire afin de décrire le processus de maturation en lien avec la survie néonatale." Thesis, Toulouse, INPT, 2016. http://www.theses.fr/2016INPT0067/document.

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Depuis plusieurs années, des projets d'intégration de données omiques se sont développés, notamment avec objectif de participer à la description fine de caractères complexes d'intérêt socio-économique. Dans ce contexte, l'objectif de cette thèse est de combiner différentes données omiques hétérogènes afin de mieux décrire et comprendre le dernier tiers de gestation chez le porc, période influençant la mortinatalité porcine. Durant cette thèse, nous avons identifié les bases moléculaires et cellulaires sous-jacentes de la fin de gestation, en particulier au niveau du muscle squelettique. Ce tis

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20

Briscik, Mitja. "Développement d'approches à noyaux pour l'intégration de données biologiques provenant de sources hétérogènes." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2025. http://www.theses.fr/2025TLSES003.

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Les progrès récents des biotechnologies à haut débit facilitent l'accès à de vastes ensembles de données, ce qui représente à la fois des opportunités et des défis pour la biostatistique. Dans ce contexte, les méthodes à noyau, qui offrent une version non linéaire de tout algorithme linéaire uniquement basé sur le produit scalaire, sont particulièrement adaptées à l'analyse et à l'intégration de données de grande dimension. Cette thèse s'inscrit dans le cadre du projet européen E-MUSE, " Complex microbial ecosystems multiscale modelling : mechanistic and data driven approaches integration ". C

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21

Hulot, Audrey. "Analyses de données omiques : clustering et inférence de réseaux Female ponderal index at birth and idiopathic infertility." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASL034.

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Le développement des méthodes de biologie haut-débit (séquençage et spectrométrie de masse) a permis de générer de grandes masses de données, dites -omiques, qui nous aident à mieux comprendre les processus biologiques.Cependant, isolément, chaque source -omique ne permet d'expliquer que partiellement ces processus. Mettre en relation les différentes sources de donnés -omiques devrait permettre de mieux comprendre les processus biologiques mais constitue un défi considérable.Dans cette thèse, nous nous intéressons particulièrement aux méthodes de clustering et d’inférence de réseaux, appliquée

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22

Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.

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S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a pr

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23

"Sparse Models For Multimodal Imaging And Omics Data Integration." 2015.

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24

Ramos, Bernardo Manuel Faria. "An Explainable Approach for Lung Cancer Classification and Integrative Survival Analysis using Omics Data." Master's thesis, 2020. https://hdl.handle.net/10216/132996.

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25

Ramos, Bernardo Manuel Faria. "An Explainable Approach for Lung Cancer Classification and Integrative Survival Analysis using Omics Data." Dissertação, 2020. https://hdl.handle.net/10216/132996.

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26

Papież, Anna. "Integrative data analysis methods in multi-omics molecular biology studies for disease of affluence biomarker research." Rozprawa doktorska, 2019. https://repolis.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=59005.

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27

Papież, Anna. "Integrative data analysis methods in multi-omics molecular biology studies for disease of affluence biomarker research." Rozprawa doktorska, 2019. https://delibra.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=59005.

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28

Chu, Lichieh Julie, and 朱俐潔. "Revealing Biomodules Availability/Fluctuations and Metastasis-related Proteins by Integrative Omics Analyses." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/27464226146353720328.

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博士<br>國立陽明大學<br>醫學生物技術暨檢驗學系暨研究所<br>99<br>Tandem mass spectrometry is a robust technology for identifying proteins in complex mixtures. Interpretation of the high throughput data is a crucial point for -omics studies. In this study, we established systems analysis platforms for high throughput proteomic data. In Haloarcula marismortui model, we revealed biochemical capabilities and metabolic stress induced systems fluctuations by using an integrative proteomics and network analysis approach; in lung cancer model, we systemic analyzed and compared the identified proteins and their expression pat

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29

Sharma, Supriya. "Integrative analysis of complex genomic and epigenomic maps." Thesis, 2018. https://hdl.handle.net/2144/27437.

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Modern healthcare research demands collaboration across disciplines to build preventive measures and innovate predictive capabilities for curing diseases. Along with the emergence of cutting-edge computational and statistical methodologies, data generation and analysis has become cheaper in the last ten years. However, the complexity of big data due to its variety, volume, and velocity creates new challenges for biologists, physicians, bioinformaticians, statisticians, and computer scientists. Combining data from complex multiple profiles is useful to better understand cellular functions and p

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30

Gagliardi, Miriam. "Integrative analyses of multi-omic data applied to the study of a rare human disease, the ICF syndrome." Tesi di dottorato, 2016. http://www.fedoa.unina.it/11107/1/Tesi_Miriam_Gagliardi.pdf.

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Application of the next-generation sequencing (NGS) technology has transformed epigenetic studies, generating large datasets that can be analyzed in different ways to answer a multitude of questions. Data integration is an essential step to understand intricate biological processes, such as the epigenetic control of gene regulation. Recent "multi-omic" studies proposed the intriguing possibility that the intragenic DNA methylation would play a role in processing of transcripts during transcription modulating the elongation or splicing. Indeed a kinetic model, in which epigenetic modifications

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