Sökning: "Mika Gustafsson"
Visar resultat 1 - 5 av 12 avhandlingar innehållade orden Mika Gustafsson.
1. Gene networks from high-throughput data : Reverse engineering and analysis
Sammanfattning : Experimental innovations starting in the 1990’s leading to the advent of high-throughput experiments in cellular biology have made it possible to measure thousands of genes simultaneously at a modest cost. This enables the discovery of new unexpected relationships between genes in addition to the possibility of falsify existing. LÄS MER
2. Large-scale topology, stability and biology of gene networks
Sammanfattning : Experimental innovations in cell biology have provided a huge amount of genomescale data sets, settling the stage for understanding organisms on a system level. Recently, complex networks have been widely adopted and serve as a unifying language for widely different systems, including social, technological and biological systems. LÄS MER
3. Omic Network Modules in Complex diseases
Sammanfattning : Biological systems encompass various molecular entities such as genes, proteins, and other biological molecules, including interactions among those components. Understanding a given phenotype, the functioning of a cell or tissue, aetiology of disease, or cellular organization, requires accurate measurements of the abundance profiles of these molecular entities in the form of biomedical data. LÄS MER
4. Novel methods and software for disease module inference
Sammanfattning : Cellular organization is believed to be modular, meaning cellular functions are carried out by modules composed of clusters of genes, proteins and metabolites that are interconnected, co-regulated or physically interacting. In turn, these modules interact together and thereby form complex networks that taken together is considered to be the interactome. LÄS MER
5. Identification of genes and regulators that are shared across T cell associated diseases
Sammanfattning : Genome-wide association studies (GWASs) of hundreds of diseases and millions of patients have led to the identification of genes that are associated with more than one disease. The aims of this PhD thesis were to a) identify a group of genes important in multiple diseases (shared disease genes), b) identify shared up-stream disease regulators, and c) determine how the same genes can be involved in the pathogenesis of different diseases. LÄS MER
