Sökning: "Omics data"

Visar resultat 1 - 5 av 42 avhandlingar innehållade orden Omics data.

  1. 1. Integrating multi-omics for type 2 diabetes : Data science and big data towards personalized medicine

    Författare :Klev Diamanti; Jan Komorowski; Claes Wadelius; Manfred Grabherr; Peter Spégel; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; NATURVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; MEDICAL AND HEALTH SCIENCES; type 2 diabetes; multi-omics; genomics; metabolomics; data science; machine learning; personalized medicine; Bioinformatics; Bioinformatik;

    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

  3. 2. Interpretation of variation in omics data : Applications in proteomics for sustainable agriculture

    Författare :Jakob Willforss; Institutionen för Immunteknologi; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; agriculture; proteomics; omics; biomarker; normalization; batch effect; visualization; software;

    Sammanfattning : Biomarkers are used in molecular biology to predict characteristics of interest and are applied in agriculture to accelerate the breeding of target traits. Proteomics has emerged as a promising technology for improved markers by providing a closer view to the phenotype than conventional genome-based approaches. LÄS MER

  4. 3. Statistically Guided Visualization and Exploratory Analysis of Omics Data

    Författare :Charlotte Soneson; Brain Repair and Imaging in Neural Systems (BRAINS); []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Bioinformatics; Exploratory analysis; Multidimensional Scaling; Omics data; Principal component analysis; Visualization;

    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

  5. 4. Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets

    Författare :Max Bylesjö; Johan Trygg; Tormod Naes; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Chemometrics; orthogonal projections to latent structures; OPLS; O2PLS; K-OPLS; kernel-based; non-linear; regression; classification; Populus; Chemistry; Kemi;

    Sammanfattning : 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. LÄS MER

  7. 5. Development of Computational Methods for Cancer Research: Strategies for closing the feedback loop in omics workflows

    Författare :Ufuk Kirik; Institutionen för Immunteknologi; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; MEDICAL AND HEALTH SCIENCES; cancer; proteome profiling; bioinformatics; pathway analysis; mass spectrometry; Quantitative proteomics;

    Sammanfattning : As the ultimate workhorses of the living things, proteins undergo significant regulatory activity throughout the lifetime of a cell or an organism. Many complex diseases effect the protein composition, expression or modification in the cells or tissues they arise in. LÄS MER