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Showing result 1 - 5 of 17 swedish dissertations matching the above criteria.

2. 1. Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods

   Author : Marcin Kruczyk; Jan Komorowski; Joaquin Dopazo; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rough sets; peak finding; gliomas; Alzheimer disease; STAT3; machine learning; feature selection; next generation sequencing;

   Abstract : This thesis is about new and improved computational methods to analyze complex biological data produced by advanced biotechnologies. Such data is not only very large but it also is characterized by very high numbers of features. READ MORE

4. 2. Proteomics Studies of Subjects with Alzheimer’s Disease and Chronic Pain

   Author : Payam Emami Khoonsari; Kim Kultima; Martin Ingelsson; Magnus Wetterhall; Ann Brinkmalm; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Bioinformatics; microservices; biomarkers; Alzheimer s disease; chronic pain; fibromyalgia; neuropathic pain; spinal cord stimulation; cloud computing; proteomics; metabolomics; software; workflows; data analysis; mass spectrometry; Bioinformatics; Bioinformatik; Neurology; Neurologi; Geriatrics; Geriatrik;

   Abstract : Alzheimer’s disease (AD) is a neurodegenerative disease and the major cause of dementia, affecting more than 50 million people worldwide. Chronic pain is long-lasting, persistent pain that affects more than 1.5 billion of the world population. READ MORE

5. 3. Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference

   Author : Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Jukka Corander; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quantitative trait loci; genome-wide association studies; hidden Markov models; numerical optimization; linkage analysis; haplotype inference; genotype imputation; high performance computing;

   Abstract : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. READ MORE

6. 4. Reproducible Data Analysis in Drug Discovery with Scientific Workflows and the Semantic Web

   Author : Samuel Lampa; Ola Spjuth; Roland Grafström; Konrad Hinsen; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Reproducibility; Scientific Workflow Management Systems; Workflows; Pipelines; Flow-based programming; Predictive modelling; Semantic Web; Linked Data; Semantic MediaWiki; MediaWiki; RDF; SPARQL; Golang; Reproducerbarhet; Arbetsflödeshanteringssystem; Flödesbaserad programmering; Prediktiv modellering; Semantiska webben; Länkade data; Go; Bioinformatics; Bioinformatik; Pharmacology; Farmakologi;

   Abstract : The pharmaceutical industry is facing a research and development productivity crisis. At the same time we have access to more biological data than ever from recent advancements in high-throughput experimental methods. READ MORE

7. 5. Benefits of Non-Linear Mixed Effect Modeling and Optimal Design : Pre-Clinical and Clinical Study Applications

   Author : Charles Ernest II; Andrew Hooker; Mats Karlsson; Bart Ploeger; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; optimal design; nonlinear mixed effects models; population models; Pharmaceutical Science; Farmaceutisk vetenskap;

   Abstract : Despite the growing promise of pharmaceutical research, inferior experimentation or interpretation of data can inhibit breakthrough molecules from finding their way out of research institutions and reaching patients. This thesis provides evidence that better characterization of pre-clinical and clinical data can be accomplished using non-linear mixed effect modeling (NLMEM) and more effective experiments can be conducted using optimal design (OD). READ MORE