Search for dissertations about: "multivariate data analysis"
Showing result 1 - 5 of 439 swedish dissertations containing the words multivariate data analysis.
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1. Deciphering sequence data : A multivariate approach
Abstract : In this thesis, attention has been focused on the quantitative description of nucleic acids, proteins and peptides. The strategy was to use multivariate chemometrical methods for improving the understanding of the complex structural codes of these kinds of biological molecules. READ MORE
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2. Improving interpretation by orthogonal variation : Multivariate analysis of spectroscopic data
Abstract : The desire to use the tools and concepts of chemometrics when studying problems in the life sciences, especially biology and medicine, has prompted chemometricians to shift their focus away from their field‘s traditional emphasis on model predictivity and towards the more contemporary objective of optimizing information exchange via model interpretation. The complex data structures that are captured by modern advanced analytical instruments open up new possibilities for extracting information from complex data sets. READ MORE
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3. Multivariate Networks : Visualization and Interaction Techniques
Abstract : As more and more data is created each day, researchers from different science domains are trying to make sense of it. A lot of this data, for example our connections to friends on different social networking websites, can be modeled as graphs, where the nodes are actors and the edges are relationships between them. READ MORE
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4. Efficient Information Visualization of Multivariate and Time-Varying Data
Abstract : Data can be found everywhere, for example in the form of price, size, weight and colour of all products sold by a company, or as time series of daily observations of temperature, precipitation, wind and visibility from thousands of stations. Due to their size and complexity it is intrinsically hard to form a global overview and understanding of them. READ MORE
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5. Decoding the complex brain : multivariate and multimodal analyses of neuroimaging data
Abstract : Functional brain images are extraordinarily rich data sets that reveal distributed brain networks engaged in a wide variety of cognitive operations. It is a substantial challenge both to create models of cognition that mimic behavior and underlying cognitive processes and to choose a suitable analytic method to identify underlying brain networks. READ MORE