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 82 for “"Biomarker Discovery"”.
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Proteomics for cancer biomarker discovery
… as it applies to early detection of cancer and biomarker discovery.
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Ovarian cancer serum biomarker discovery using proteomics
… Cancer antigen-125, the most widely used biomarker for ovarian cancer detection, lacks appropriate sensitivity and specificity. Thus, early biomarkers of the disease are urgently required. Proteomic analysis of human serum promises to be a valuable approach for the discovery of putative …
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Biomarker Discovery in Autoimmune Diseases: A Proteomics Approach
… and are prime candidates for disease marker discovery. Mass spectrometry-based proteomics biomarker discovery holds the ability to interrogate a constellation of proteins simultaneously in a high-throughput manner to uncover a panel of markers that are specific to the presence of a disease. …
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Implementation of global miRNA biomarker discovery in human plasma
… diagnostics and identification of novel biomarkers. Small non-coding RNAs, specifically miRNAs, have been shown to exist extracellularly and are stable in biofluids, including blood and urine. The expression profile of extracellular miRNAs is also altered in a number of diseases making …
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The Role of Proteomics in Colorectal Cancer Biomarker Discovery
… tests to detect and stage the disease. Biomarkers are gaining popularity as they provide a unique biological signature for the disease, and thus there has been increased expansion in the use of Proteomic technologies to undertake such research. The primary aim of this thesis was to apply …
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Antibody-omics for biomarker discovery in vaccinology and infectious diseases
… manner for translational applications in biomarker discovery, point-of-care diagnostics, vaccine development, and therapeutics. The first specific aim focused on measuring Fc N-linked glycosylation, which is a common post-translational modification well known for its influence on pro- and …
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Prostate cancer evolution employing artificial intelligence to enhance biomarker discovery
… methods and identify novel prostate cancer biomarkers associated with advanced disease across these different levels.<br/><br/>Exploring isolated prostate cellular sub-populations allows for novel biomarkers and targetable pathways to be identified towards cancer stem-cell (CSC) biology. …
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Biomarker discovery using urinary metabolomics for noninvasive early cancer detection
… with powerful new tools for molecular biomarker discovery that may benefit early screening of cancer. This dissertation outlines several key advances made toward the application of urinary metabolomics to cancer biomarker discovery. The term urinary metabolomics here refers to the …
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Enhanced transcriptome profiling and biomarker discovery using meta-analytical techniques
… to groups, and identify candidate transcript biomarkers, and (3) apply novel meta-analysis approaches to experiments with related but different conditions. The novelty of the approaches is seen with the inclusion of estimates of differential expression (effect size) as well as the sign of …
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Prognostic biomarker discovery from omics data using machine learning approaches
Prognostic biomarker discovery from omics data using machine learning approaches by Manik Garg Prognostic biomarkers can help clinicians identify high-risk patients to administer appropriate therapies. The omics data from patient samples can be used to find such biomarkers. Moreover, molecular …
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Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery
… (disease cases vs. healthy controls) for cancer biomarker discovery. However, differential expression analysis on independent studies for the same clinical types of patients often led to different sets of significant biomolecules and had only few in common. This may be attributed to the fact that …
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Bioinformatics and Machine Learning Approaches for Biomarker Discovery and Predictive Modelling
L'abstract è presente nell'allegato / the abstract is in the attachment
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Liquid Chromatography – Mass Spectrometry for Protein Biomarker Discovery in Pancreatic Adenocarcinoma
… in vitro and produce a proteome rich in biomarkers. The proteins identified demonstrate the complex signals tumor cells use to communicate with their environment and encompass therapeutic targets and biomarkers. To assay these proteins in serum, a relative quantitative LC-MS method was …
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The Application of Innovative High-Throughput Techniques to Serum Biomarker Discovery
… for serum protein expression profiling and biomarker discovery. As seen in our initial SELDI-TOF MS and MALDI-TOF MS profiling study of serum for the assessment of breast cancer risk, many profiling strategies typically employ single chemical affinity beads or surfaces to decrease sample …
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Developing Bottom-Up, Integrated Omics Methodologies for Big Data Biomarker Discovery
The availability of highly-distributed computing compliments the proliferation of next generation sequencing (NGS) and genome-wide association studies (GWAS) datasets. These data sets are often complex, poorly annotated or require complex domain knowledge to sensibly manage. These novel datasets …
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Salivary proteome investigation for Autoimmune Liver Diseases classification and biomarker discovery
… health, represents a promising biofluid for biomarker discovery. Several studies evidenced that various systemic disorders affected qualitatively and quantitatively the salivary proteome. The present thesis reports the analysis of the salivary proteome from patients affected by AIH and PBC in …
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Analysis of SELDI mass spectra for biomarker discovery and cancer classification
… mass spectrometry (SELDI-TOF MS) for biomarker discovery and cancer classification. It investigated quantitative measures of reproducibility and found that SELDI protein profiles are affected by sample storage and processing procedure. Two new peak alignment algorithms were proposed, …
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Two methods of biomarker discovery: applications in neuropathic pain and pharmacotherapy.
Biomarkers have potential utility in the treatment of pain as diagnostics and for quantification of drug efficacy and safety. A qualified biomarker will capture overlapping disease mechanisms and will be responsive to treatment. The necessity for these strict requirements renders it difficult to …
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Data-driven Methods for Resting-state fMRI Biomarker Discovery in Mental Illness
… their potential for identifying image-derived biomarkers of brain disorders, which is consistent across independent datasets. Lastly, further investigation is required to address the ambiguities in the identification of brain networks that have been overlooked by existing methods. We evaluated …
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