Sökning: "Erik Sonnhammer"
Visar resultat 1 - 5 av 16 avhandlingar innehållade orden Erik Sonnhammer.
1. From networks to pathway analysis
Sammanfattning : Biological mechanisms stem from complex intracellular interactions spanning across different levels of regulation. Mapping these interactions is fundamental for the understanding of all types of biological conditions, including complex diseases. Each experimental approach carries its own bias and noise. LÄS MER
2. The relationship between orthology, protein domain architecture and protein function
Sammanfattning : Lacking experimental data, protein function is often predicted from evolutionary and protein structure theory. Under the 'domain grammar' hypothesis the function of a protein follows from the domains it encodes. LÄS MER
3. Computational Analysis of Tumour Heterogeneity
Sammanfattning : Every tumour is unique and characterised by its genetic, epigenetic, phenotypic, and morphological signature. The diversity observed between and within tumours, and over time, is termed tumour heterogeneity. An increased heterogeneity within a tumour correlates with cancer progression, higher resistance rates, and poorer outcome. LÄS MER
4. Network and gene expression analyses for understanding protein function
Sammanfattning : Biological function is the result of a complex network of functional associations between genes or their products. Modeling the dynamics underlying biological networks is one of the big challenges in bioinformatics. LÄS MER
5. Functional association networks for disease gene prediction
Sammanfattning : Mapping of the human genome has been instrumental in understanding diseasescaused by changes in single genes. However, disease mechanisms involvingmultiple genes have proven to be much more elusive. Their complexityemerges from interactions of intracellular molecules and makes them immuneto the traditional reductionist approach. LÄS MER