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.

Results

Showing 1 to 20 of 25 for “"Biomarker Identification"”.

  1. Building bioinformatics solutions for biomarker identification

    … systems to aid work in the field of biomarker discovery and diagnostic test development. The aim of the work was to develop a flexible data storage and analysis platform that would be capable of housing and working with data from a variety of modern biomarker analysis techniques. In …

    cranfield Repository record for Building bioinformatics solutions for biomarker identification (opens in a new tab)

  2. Computational Approaches To Anti-Toxin Therapies And Biomarker Identification

    <p>This work describes the fundamental study of two bacterial toxins with computational methods, the rational design of a potent inhibitor using molecular dynamics, as well as the development of two bioinformatic methods for mining genomic data. </p> <p>Clostridium difficile is an opportunistic …

    wayne-thes Repository record for Computational Approaches To Anti-Toxin Therapies And Biomarker Identification (opens in a new tab)

  3. Integrative Biomarker Identification and Classification Using High Throughput Assays

    … developed several novel methods for integrative biomarker identification and cancer classification. We introduce a regression-based approach to identify biomarkers predictive to therapy response or survival by integrating multiple assays including gene expression, methylation and copy number data …

    uthsc Repository record for Integrative Biomarker Identification and Classification Using High Throughput Assays (opens in a new tab)

  4. Novel biomarker identification in pancreatic cancer using Raman spectroscopy

    … and has recently been identified as a potential biomarker for the disease. Raman spectroscopy is an emerging technology, showing promise in the detection and surgical guidance of many cancers. There is, however, limited research on its use in pancreatic cancer. This study aims to investigate the …

    lancaster Repository record for Novel biomarker identification in pancreatic cancer using Raman spectroscopy (opens in a new tab)

  5. Biomarker identification in HIV and non-HIV related lymphomas

    … yet the relapse rate is high. While many biomarkers for DLBCL exist, they are not in clinical use due to low sensitivity and specificity. In addition, these biomarkers have not been studied in the HIV context. Therefore, the identification of new biomarkers for HIV negative and HIV …

    cape-town Repository record for Biomarker identification in HIV and non-HIV related lymphomas (opens in a new tab)

  6. APPLICATION OF OMICS APPROACHES IN DRUG DISCOVERY AND BIOMARKER IDENTIFICATION

    … screening drug discovery to support the identification of novel bioactive compounds. These studies aimed to apply untargeted multi-omics approaches to infer the mechanism of action of phytocomplex with potential lipid-lowering properties. Once better understood, lipid metabolism can be …

    milano Repository record for APPLICATION OF OMICS APPROACHES IN DRUG DISCOVERY AND BIOMARKER IDENTIFICATION (opens in a new tab)

  7. Development and application of mass spectrometry-based metabolomics methods for disease biomarker identification

    … understanding of cellular function and the identification of number of novel biomarkers for a variety of diseases.In recent years, the monitoring of such systems-level cellular behavior has naturally extended to the metabolite level, leading to the study of metabolomics. The rise of …

    mit Repository record for Development and application of mass spectrometry-based metabolomics methods for disease biomarker identification (opens in a new tab)

  8. Untargeted metabolomics and proteomics application of mass spectrometry: from biomarker identification within cells to their spatial localization on tissues

    … the distribution of new reliable and specific biomarkers for each individual phenotype. In this thesis, molecular assays coupled to mass spectrometry-based global metabolomics and proteomics techniques were employed to examine the changes occurring during cellular senescence upon induction of …

    strathclyde Repository record for Untargeted metabolomics and proteomics application of mass spectrometry: from biomarker identification within cells to their spatial localization on tissues (opens in a new tab)

  9. Profiling and putative aroma biomarker identification for flavor in potatoes using a trained sensory panel and HS-SPME GC-MS

    … to aroma compound analysis reveals potential biomarkers for flavor phenotyping. Trained sensory panelists described extensive, significant sensory differences between potatoes including bitter, buttery, creamy, earthy, fruity, off-flavors other than bitter, potato-like flavor, sweet, woody, …

    colostate Repository record for Profiling and putative aroma biomarker identification for flavor in potatoes using a trained sensory panel and HS-SPME GC-MS (opens in a new tab)

  10. Signal enhancement and data mining for biological and chemical samples using mass spectrometry

    … and more attention especially for researches in biomarker identification, sample classification and omics-related areas where high volume of data is generated.

    purdue-thes Repository record for Signal enhancement and data mining for biological and chemical samples using mass spectrometry (opens in a new tab)

  11. Analysis of biomarker candidates from plant lipid inputs into Galapagos lacustrine sediments

    … in regions of high ENSO activity can act as biomarkers to reconstruct past precipitation patterns by measuring the D/H ratios preserved in these compounds to observe the local climate changes with global temperature variations. Twelve plant species and two sediment samples from in and around …

    mit Repository record for Analysis of biomarker candidates from plant lipid inputs into Galapagos lacustrine sediments (opens in a new tab)

  12. Dimensionality Reduction, Feature Selection and Visualization of Biological Data

    … dimensionality reduction in genomic analysis and biomarker identification studies are: Feature extraction, creating new features by combining existing ones based on a mapping technique; and feature selection, choosing an optimal subset of all features based on an objective function. In this …

    vt Repository record for Dimensionality Reduction, Feature Selection and Visualization of Biological Data (opens in a new tab)

  13. Integrative Modeling and Analysis of High-throughput Biological Data

    … independent component analysis (ICA) method for biomarker identification on time course microarray data. Guided by a knowledge gene pool related to a specific disease under study, the method can determine disease relevant biological components from ICA modes and then identify biologically …

    vt Repository record for Integrative Modeling and Analysis of High-throughput Biological Data (opens in a new tab)

  14. Quantitative analysis of co-enzyme a in a plant tissues and cancer biomarkers in urine samples by using capillary electrophoresis and liquid chromatography-mass spectrometry

    … is crucial. In pre-cancer studies, cancer biomarkers become significant because of the useful information it contains such as possible cancer type and stage. Separation and detection technique plays an important role in cancer biomarker identification.</p> <p>Coenzyme A (CoA) facilitates …

    must-thes Repository record for Quantitative analysis of co-enzyme a in a plant tissues and cancer biomarkers in urine samples by using capillary electrophoresis and liquid chromatography-mass spectrometry (opens in a new tab)

  15. Machine learning-driven integration of multimodal data for deciphering breast cancer heterogeneity

    … BC stratification and prognostic gene signature identification using single genomic data; 2) BC subtyping using multiple genomics data; 3) Graph neural network (GNN) for BC hierarchical biological system mapping using graph-structured proteomics data; 4) BC prognostic radiogenomic biomarker

    manitoba Repository record for Machine learning-driven integration of multimodal data for deciphering breast cancer heterogeneity (opens in a new tab)

  16. Development and Testing of a Rapid Multiplex Assay for the Identification of Biological Stains

    … possible to individualize biological stains, the identification of the stain itself can present forensic serologists with a significant challenge. Current antibody- and enzyme activity-based assays used by forensic practitioners for biological stain identification yield only presumptive results. …

    denver Repository record for Development and Testing of a Rapid Multiplex Assay for the Identification of Biological Stains (opens in a new tab)

  17. Proteomic approaches for the identification of biomarkers of beef tenderness from Longissimus thoracis muscles and plasma of young Limousin-sired bulls

    … have been applied in meat science to identify biomarkers of beef quality. Nevertheless, there are still gaps in our understanding of the mechanisms lying behind the biomarkers and the biological pathways involved. The work in this thesis firstly assessed the feasibility of RNAlater® as a muscle …

    cork Repository record for Proteomic approaches for the identification of biomarkers of beef tenderness from Longissimus thoracis muscles and plasma of young Limousin-sired bulls (opens in a new tab)

  18. Quantitative pharmacoproteomics investigation of anti-cancer drugs in mouse. Development and optimisation of proteomics workflows for evaluating the effect of anti-cancer drugs on mouse liver

    … a highly validated proteomics workflow for biomarker identification. Proteins were extracted from liver microsomes of mice treated in two separate sets; Set A – male (5-fluoruracil, doxorubicin, cisplatin and untreated) or Set B – female (5-fluoruracil, paclitaxel, TCPOBOP and untreated) …

    bradford Repository record for Quantitative pharmacoproteomics investigation of anti-cancer drugs in mouse. Development and optimisation of proteomics workflows for evaluating the effect of anti-cancer drugs on mouse liver (opens in a new tab)

  19. Exploring topological data analysis in gene expression data topology-driven biomarker discovery and clinical outcome prediction in oncology

    … cancer research: clinical outcome prediction and biomarker discovery. In this study, we employ Weighted Gene Topological Data Analysis (WGTDA) to extract topological features from gene expression data, which serve as prognostic biomarkers for cancer classification, staging, and treatment response. …

    cape-town Repository record for Exploring topological data analysis in gene expression data topology-driven biomarker discovery and clinical outcome prediction in oncology (opens in a new tab)

Page 1 of 2