Sökning: "Bioinformatik beräkningsbiologi"
Visar resultat 1 - 5 av 34 avhandlingar innehållade orden Bioinformatik beräkningsbiologi.
1. 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
2. Patterns in big data bioinformatics : Understanding complex diseases with interpretable machine learning
Sammanfattning : 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. LÄS MER
3. Structure-based Virtual Screening for Ligands of G Protein-coupled Receptors : Design of Allosteric and Dual-Target Modulators
Sammanfattning : 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. LÄS MER
4. Elucidation of complex diseases by machine learning
Sammanfattning : 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. LÄS MER
5. Computational Modelling of Gene Regulation in Cancer : Coding the noncoding genome
Sammanfattning : Technological advancements have enabled quantification of processes within and around us. The information stored within our body converts into petabytes of data. Processing and learning from such data requires comprehensive computational programs and software systems. LÄS MER