Search for dissertations about: "Bioinformatik"

Showing result 6 - 10 of 439 swedish dissertations containing the word Bioinformatik.

2. 6. 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 : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; 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

4. 7. A Study in RNA Bioinformatics : Identification, Prediction and Analysis

   Author : Eva Freyhult; David Ardell; Robert Giegerich; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; RNA; bioinformatics; secondary structure; structure prediction; dynamic programming; energy landscape; homology search; sequence logo; tRNA; Bioinformatics; Bioinformatik;

   Abstract : Research in the last few decades has revealed the great capacity of the RNA molecule. RNA, which previously was assumed to play a main role only as an intermediate in the translation of genes to proteins, is today known to play many important roles in the cell in addition to that as a messenger RNA and transfer RNA, including the ability to catalyze reactions and gene regulations at various levels. READ MORE

5. 8. 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. 9. Structure-based Virtual Screening for Ligands of G Protein-coupled Receptors : Design of Allosteric and Dual-Target Modulators

   Author : Stefanie Kampen; Jens Carlsson; Peter Kolb; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; G protein-coupled receptors; Polypharmacology; Molecular Docking; Structure-based Drug Design; Parkinson’s Disease; Virtual Screening; Allosteric Modulators; Bioinformatics; Bioinformatik;

   Abstract : G protein-coupled receptors (GPCRs) are integral membrane proteins responsible for signal transduction of extracellular stimuli into the cell. Because of their widespread distribution throughout the human body and important roles in physiological processes, GPCRs are prominent drug targets and approximately 34% of all approved drugs interact with members of this superfamily. READ MORE

7. 10. 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