Sökning: "network-based enrichment"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden network-based enrichment.
1. Global functional association network inference and crosstalk analysis for pathway annotation
Sammanfattning : Cell functions are steered by complex interactions of gene products, like forming a temporary or stable complex, altering gene expression or catalyzing a reaction. Mapping these interactions is the key in understanding biological processes and therefore is the focus of numerous experiments and studies. LÄS MER
2. Methods, tools, and computational environment for network-based analysis of biological data
Sammanfattning : Cancer currently affects more than 18 million persons world-wide annually. It is a leading cause of death and so far, only 60% cure rate can be reached within the most developed health care systems. The nature of cancer has been a mystery for centuries, until discoveries during recent decades shed light on the underlying molecular events. LÄS MER
3. 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
4. Big data networks and orthology analysis
Sammanfattning : Understanding biological systems in complex organisms is important in life science in order to comprehend the interplay of genes, proteins, and compounds causing complex diseases. As biological systems are intricate, bioinformatics tools, models, and algorithms are of the utmost importance to understand the bigger picture and decipher biological meaning from the vast amounts of information available from biological experiments and predictions. LÄS MER
5. 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