Search for dissertations about: "gene expression data"

Showing result 1 - 5 of 877 swedish dissertations containing the words gene expression data.

  1. 1. Statistical analysis of gene expression data

    Author : Erik Kristiansson; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Keywords : NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; gene expression; DNA microarrays; linear models; empirical Bayes; quality control; gene regulation; categorical data analysis; logistic regression; heavy metal stress; ecotoxicology; gene expression;

    Abstract : Microarray technology has become one of the most important tools for genome-wide mRNA measurements. The technique has been successfully applied to many areas in modern biology including cancer research, identification of drug targets, and categorization of genes involved in the cell cycle. READ MORE

  2. 2. Contributions to Statistical Analysis of Gene Expression Data

    Author : Anders Sjögren; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; DNA microarray; differential expression; gene regulation; variance stabilising transformation; permutation; reference gene; housekeeping gene; bootstrap; quality control QC ; quality assurance QA ; quality assessment; empirical Bayes; weighted moderated t-statistic; WAME; DNA microarray;

    Abstract : .... READ MORE

  3. 3. Network and gene expression analyses for understanding protein function

    Author : Oliver Frings; Erik Sonnhammer; Rune Linding; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; biological networks; network inference; network analysis; clustering; network module; network crosstalk; expression analysis; gene signature; biomarker; biokemi; inriktning teoretisk kemi; Biochemistry with Emphasis on Theoretical Chemistry;

    Abstract : Biological function is the result of a complex network of functional associations between genes or their products. Modeling the dynamics underlying biological networks is one of the big challenges in bioinformatics. READ MORE

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

    Author : Klev Diamanti; Jan Komorowski; Claes Wadelius; Manfred Grabherr; Peter Spégel; Uppsala universitet; []
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 5. Nonlinear dimensionality reduction of gene expression data

    Author : Jens Nilsson; Matematik LTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Gene expression; Manifold learning; Nonlinear dimensionality reduction; Microarray;

    Abstract : Using microarray measurements techniques, it is possible to measure the activity of genes simultaneously across the whole genome. Since genes influence each others activity levels through complex regulatory networks, such gene expression measurements are state samples of a dynamical system. READ MORE