Search for dissertations about: "gene regulatory network"
Showing result 1 - 5 of 95 swedish dissertations containing the words gene regulatory network.
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1. Exploring the Boundaries of Gene Regulatory Network Inference
Abstract : To understand how the components of a complex system like the biological cell interact and regulate each other, we need to collect data for how the components respond to system perturbations. Such data can then be used to solve the inverse problem of inferring a network that describes how the pieces influence each other. READ MORE
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2. 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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3. Towards Reliable Gene Regulatory Network Inference
Abstract : Phenotypic traits are now known to stem from the interplay between genetic variables across many if not every level of biology. The field of gene regulatory network (GRN) inference is concerned with understanding the regulatory interactions between genes in a cell, in order to build a model that captures the behaviour of the system. READ MORE
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4. 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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5. In silico modelling for refining gene regulatory network inference
Abstract : Gene regulation is at the centre of all cellular functions, regulating the cell's healthy and pathological responses. The interconnected system of regulatory interactions is known as the gene regulatory network (GRN), where genes influence each other to maintain strict and robust control. READ MORE