Search for dissertations about: "multivariate data protein"
Showing result 1 - 5 of 57 swedish dissertations containing the words multivariate data protein.
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1. Managing and Exploring Large Data Sets Generated by Liquid Separation - Mass Spectrometry
Abstract : A trend in natural science and especially in analytical chemistry is the increasing need for analysis of a large number of complex samples with low analyte concentrations. Biological samples (urine, blood, plasma, cerebral spinal fluid, tissue etc. READ MORE
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2. Analysis of Metabolites in Complex Biological Samples Using LC/MS and Multivariate Data Analysis : Metabolic Fingerprinting and Detection of Biomarkers
Abstract : To facilitate early diagnosis of diseases and elucidation of the processes involved in their development and progression, various specific compounds or ‘biomarkers’ are often monitored. The first step is to decide which compounds to analyze. READ MORE
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3. ATP-Binding-Cassette Transporters in Biliary Efflux and Drug-Induced Liver Injury
Abstract : Membrane transport proteins are known to influence the absorption, distribution, metabolism, excretion and toxicity (ADMET) of drugs. At the onset of this thesis work, only a few structure-activity models, in general describing P-glycoprotein (Pgp/ABCB1) interactions, were developed using small datasets with little structural diversity. READ MORE
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4. A multivariate approach to computational molecular biology
Abstract : This thesis describes the application of multivariate methods in analyses of genomic DNA sequences, gene expression and protein synthesis, which represent each of the steps in the central dogma of biology. The recent finalisation of large sequencing projects has given us a definable core of genetic data and large-scale methods for the dynamic quantification of gene expression and protein synthesis. READ MORE
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5. Network and gene expression analyses for understanding protein function
Abstract : Biological function is the result of a complex network of functional associations between genes or their products. Modeling the dynamics underlying biological networks is one of the big challenges in bioinformatics. READ MORE