Sökning: "Data visualization"
Visar resultat 21 - 25 av 355 avhandlingar innehållade orden Data visualization.
21. Statistically Guided Visualization and Exploratory Analysis of Omics Data
Sammanfattning : This thesis deals with methods for extracting robust and relevant information from high-dimensional data sets, and statistically guided visualization methods for representing the data in an informative and easily accessible way. High-dimensional data sets are becoming increasingly prevalent in many different scientific disciplines. LÄS MER
22. Touching the Essence of Life : Haptic Virtual Proteins for Learning
Sammanfattning : This dissertation presents research in the development and use of a multi-modal visual and haptic virtual model in higher education. The model, named Chemical Force Feedback (CFF), represents molecular recognition through the example of protein-ligand docking, and enables students to simultaneously see and feel representations of the protein and ligand molecules and their force interactions. LÄS MER
23. Enhancing Salient Features in Volumetric Data Using Illumination and Transfer Functions
Sammanfattning : The visualization of volume data is a fundamental component in the medical domain. Volume data is used in the clinical work-flow to diagnose patients and is therefore of uttermost importance. LÄS MER
24. Integrating multi-omics for type 2 diabetes : Data science and big data towards personalized medicine
Sammanfattning : Type 2 diabetes (T2D) is a complex metabolic disease characterized by multi-tissue insulin resistance and failure of the pancreatic β-cells to secrete sufficient amounts of insulin. Cells recruit transcription factors (TF) to specific genomic loci to regulate gene expression that consequently affects the protein and metabolite abundancies. LÄS MER
25. Image analysis and interactive visualization techniques for electron microscopy tomograms
Sammanfattning : Images are an important data source in modern science and engineering. A continued challenge is to perform measurements on and extract useful information from the image data, i.e., to perform image analysis. LÄS MER