Search for dissertations about: "network-based enrichment"

Showing result 1 - 5 of 6 swedish dissertations containing the words network-based enrichment.

2. 1. Global functional association network inference and crosstalk analysis for pathway annotation

   Author : Christoph Ogris; Erik Sonnhammer; Alfonso Valencia; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; biological networks; genome wide functional association networks; global gene association networks; gene networks; protein networks; functional association; functional coupling; network biology pathway analysis; pathway annotation; pathway enrichment; network-based enrichment; enrichment; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Abstract : 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. READ MORE

4. 2. Methods, tools, and computational environment for network-based analysis of biological data

   Author : Iurii Petrov; Karolinska Institutet; Karolinska Institutet; []
   Keywords : ;

   Abstract : 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. READ MORE

5. 3. Functional association networks for disease gene prediction

   Author : Dimitri Guala; Erik L L Sonnhammer; Hjalmar Brismar; Yves Moreau; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; network biology; biological networks; network prediction; functional association; functional coupling; network integration; functional association networks; genome-wide association networks; gene networks; protein networks; fret; functional enrichment analysis; network cross-talk; pathway annotation; gene prioritisation; network-based gene prioritization; benchmarking; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Abstract : 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. READ MORE

6. 4. Big data networks and orthology analysis

   Author : Emma Persson; Erik Sonnhammer; Albert László Barabási; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Ortholog; protein domain; functional association network; pathway enrichment analysis; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

   Abstract : 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. READ MORE

7. 5. From networks to pathway analysis

   Author : Miguel Castresana Aguirre; Erik Sonnhammer; Alfonso Valencia; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Abstract : 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. READ MORE