Sökning: "FDR"
Visar resultat 1 - 5 av 16 avhandlingar innehållade ordet FDR.
1. Physics-based Modelling for Aircraft Noise and Emission Predictions
Sammanfattning : Starting from semi-empirical noise source models for the aircraft and 4D trajectory computations, this work focuses on the environmental assessment of scenario studies regarding technology evaluation and procedural planning. Extensive work was performed on improving and validating the existing tools. LÄS MER
2. Resampling in network modeling of high-dimensional genomic data
Sammanfattning : Network modeling is an effective approach for the interpretation of high-dimensional data sets for which a sparse dependence structure can be assumed. Genomic data is a challenging and important example. In genomics, network modeling aids the discovery of biological mechanistic relationships and therapeutic targets. LÄS MER
3. Metabolic alterations and adipose tissue dysfunction in individuals with a family history of type 2 diabetes
Sammanfattning : ABSTRACT Aims The overall aim of this doctoral thesis was to further examine the anthropometric, metabolic and adipose tissue dysfunctions, as well as explore novel metabolites, associated with type 2 diabetes mellitus (T2D), examining individuals both with and without known genetic predisposition to T2D. This thesis is part of the research conducted at Lundberg laboratory for diabetes research, Institute of Medicine, Sahlgrenska Academy, at Gothenburg University. LÄS MER
4. Lifestyle intervention in first-degree relatives of patients with type 2 diabetes
Sammanfattning : Type 2 diabetes is increasing worldwide, mainly due to unfavorable changes in diet and physical activity. Prevention strategies to slow this development are urgently needed. First-degree relatives of type 2 diabetic patients (FDR) have an increased risk of developing the disease. LÄS MER
5. Network modeling and integrative analysis of high-dimensional genomic data : Nätverksmodellering och integrativ analys av högdimensionell genomikdata
Sammanfattning : Genomic data describe biological systems on the molecular level and are, due to the immense diversity of life, high-dimensional. Network modeling and integrative analysis are powerful methods to interpret genomic data. LÄS MER