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Visar resultat 1 - 5 av 250 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Utilization of single-cell RNA-Seq and genome-scale modeling for investigating cancer metabolism

    Författare :Johan Gustafsson; Chalmers tekniska högskola; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; genome-scale metabolic modeling; cancer; metabolism; single-cell RNA-Seq;

    Sammanfattning : Cancer remains a leading cause of death worldwide, and its dysregulated metabolism is a promising target for therapy. However, metabolism is complex to study – the metabolism of a cell involves the interplay of thousands of chemical reactions that are combined in different ways across tissues and cell types. LÄS MER

  2. 2. 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; 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

  3. 3. Tumour evolution and novel biomarkers in breast cancer

    Författare :Jana Biermann; Göteborgs universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; breast cancer; gene signature; molecular biomarkers; tumour clonality; genomic instability; Swedish haemangioma cohort;

    Sammanfattning : Several gene signatures have been proposed in the past two decades to improve outcome prediction for breast cancer patients and to guide treatment decisions. Current treatment guidelines, however, primarily focus on established clinicopathological features. LÄS MER

  4. 4. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments

    Författare :Torbjörn E. M. Nordling; Elling W Jacobsen; Rolf Findeisen; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; network inference; reverse engineering; variable selection; model selection; feature selection; subset selection; system identification; system theory; network theory; subnetworks; design of experiments; perturbation experiments; gene regulatory networks; biological networks;

    Sammanfattning : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. LÄS MER

  5. 5. Rule-based Models of Transcriptional Regulation and Complex Diseases : Applications and Development

    Författare :Susanne Bornelöv; Jan Komorowski; Claes Wadelius; Joanna Polanska; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Histone modification; Transcription factor; Transcriptional regulation; Next-generation sequencing; Feature selection; Machine learning; Rule-based classification; Asthma; Allergy; Bioinformatik; Bioinformatics;

    Sammanfattning : As we gain increased understanding of genetic disorders and gene regulation more focus has turned towards complex interactions. Combinations of genes or gene and environmental factors have been suggested to explain the missing heritability behind complex diseases. LÄS MER