Search for dissertations about: "gene networks"
Showing result 1 - 5 of 218 swedish dissertations containing the words gene networks.
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1. Functional association networks for disease gene prediction
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
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2. Gene Regulatory Networks: Dynamics and Stability
Abstract : Life as we know it is based on cells that use proteins and RNA to carry out metabolism, self-replication, and other essential tasks. The genes that code for these molecules are encoded in DNA, and through the processes of transcription and translation the cell expresses its genes. READ MORE
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3. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments
Abstract : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. READ MORE
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4. Collaborating and communicating in new media - wiki's, social networks and blogs : a qualitative and quantitative approach
Abstract : The Web 2.0 environment has created a platform where the power and voice have shifted from organization to market. Communities, networks and the developments in information communication technologies have enabled the average consumer to become an active participant in creating and recreating value. READ MORE
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5. Global functional association network inference and crosstalk analysis for pathway annotation
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