Search for dissertations about: "complex diseases"

Showing result 1 - 5 of 793 swedish dissertations containing the words complex diseases.

  2. 1. Immune Complex Regulated Cytokine Production in Rheumatic and Lymphoproliferative Diseases

    Author : Linda Mathsson; Johan Rönnelid; Bo Nilsson; Ann Kari Lefvert; Uppsala universitet; []
    Keywords : Immunology; Immune complex; Cytokines; Rheumatic diseases; Lymphoproliferative diseases; Immunologi;

    Abstract : Immune complexes (ICs) are produced during normal immune responses and facilitate clearance of foreign antigens. ICs not efficiently cleared from the circulation can cause tissue damage. This might happen if ICs are formed with autoantibodies and autoantigens. READ MORE

  4. 2. Strategies for Identification of Susceptibility Genes in Complex Autoimmune Diseases

    Author : Ludmila Prokunina; Marta Alarcon-Riquelme; Ulf Gyllensten; Juha Kere; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Genetics; complex diseases; autoimmune diseases; genetic mapping; functional studies; Genetik; Clinical genetics; Klinisk genetik;

    Abstract : Systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) are complex autoimmune diseases affecting 0.05-2% of the population worldwide. Genetic studies detected linkage with SLE in the 2q37 region, and intensive family-based and case-control association studies in several populations identified that allele A of the SNP PD-1. READ MORE

  5. 3. Patterns in big data bioinformatics : Understanding complex diseases with interpretable machine learning

    Author : Mateusz Garbulowski; Jan Komorowski; Ryan J. Urbanowicz; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; complex diseases; big data; machine learning; transcriptomics; life sciences; rough sets; Bioinformatics; Bioinformatik;

    Abstract : Alterations in the flow of genetic information may lead to complex diseases. Such changes are measured with various omics techniques that usually produce the so-called “big data”. Using interpretable machine learning (ML), we retrieved patterns from transcriptomics data sets. READ MORE

  6. 4. Uncovering biomarkers and molecular heterogeneity of complex diseases : Utilizing the power of Data Science

    Author : Sara Younes; Linda Holmfeldt; Jan Komoroski; Aedin Culhane; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Complex Disease; Cancer; Autoimmune diseases; Acute Myeloid Leukemia; Systemic Lupus Erythematosus; Bioinformatics; Machine Learning; Data Science; Statistical Analysis; Bioinformatics; Bioinformatik; Computer Science; Datavetenskap;

    Abstract : Uncovering causal drivers of complex diseases is yet a difficult challenge. Unlike single-gene disorders complex diseases are heterogeneous and are caused by a combination of genetic, environmental, and lifestyle factors which complicates the identification of patient subgroups and the disease causal drivers. READ MORE

  7. 5. Elucidation of complex diseases by machine learning

    Author : Karolina Smolinska Garbulowska; Jan Komorowski; Claes Wadelius; Tuuli Lappalainen; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; machine learning; complex disease; multi-omics; regulatory element; gene regulation; transcription factor motif; networks; rough sets; Bioinformatics; Bioinformatik;

    Abstract : Uncovering the interpretability of models for complex health-related problems is a crucial task that is often neglected in machine learning (ML). The amount of available data makes the problem even more complicated. READ MORE