Search for dissertations about: "systems biology graphical notation"
Showing result 1 - 5 of 10 swedish dissertations containing the words systems biology graphical notation.
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1. Database and Visualization for Advanced Systems Biology
Abstract : In the information age, there is plenty of information available publicly in the field of biology. Utilization of biological data is still slow and inefficient compared to the amount of data generated. This problem arise due to the specific characteristics of biological data, which are complex, dynamic and variable. READ MORE
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2. Comparative network analysis of human cancer: sparse graphical models with modular constraints and sample size correction
Abstract : In the study of transcriptional data for different groups (e.g. cancer types) it's reasonable to assume that some dependencies between genes on a transcriptional or genetic variants level are common across groups. Also, that this property is preserved locally, thus defining a modular structure in the model networks. READ MORE
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3. Resampling in network modeling of high-dimensional genomic data
Abstract : Network modeling is an effective approach for the interpretation of high-dimensional data sets for which a sparse dependence structure can be assumed. Genomic data is a challenging and important example. In genomics, network modeling aids the discovery of biological mechanistic relationships and therapeutic targets. READ MORE
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4. Learning time-varying interaction networks
Abstract : Most biological systems consist of several subcomponents whichinteract with each other. These interactions govern the overall behaviourof the system; and in turn vary over time and in response to internaland external stress during the course of an experiment. READ MORE
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5. Bioinformatic approaches to gene expression in leukemia. Networks and deconvolution
Abstract : The aim of this thesis is develop methods to extract information from high-dimensionality data and to apply them in looking at gene-gene and gene-protein interactions in Acute Myeloid Leukemia (AML). The in silico methods developed can be used with data from other systems. READ MORE