Search for dissertations about: "annotation analysis"
Showing result 1 - 5 of 74 swedish dissertations containing the words annotation analysis.
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1. Probalistic Methods In Genomic Data Analysis
Abstract : In this thesis, three aspects of gene expression data analysis are discussed: Differential gene expression is addressed by a probabilistic method. Gene annotation enrichment analysis is discussed in the context of multiple hypothesis testing and the choice of null hypothesis. READ MORE
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2. Global functional association network inference and crosstalk analysis for pathway annotation
Abstract : Cell functions are steered by complex interactions of gene products, like forming a temporary or stable complex, altering gene expression or catalyzing a reaction. Mapping these interactions is the key in understanding biological processes and therefore is the focus of numerous experiments and studies. READ MORE
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3. Computational Analysis of Tumour Heterogeneity
Abstract : Every tumour is unique and characterised by its genetic, epigenetic, phenotypic, and morphological signature. The diversity observed between and within tumours, and over time, is termed tumour heterogeneity. An increased heterogeneity within a tumour correlates with cancer progression, higher resistance rates, and poorer outcome. READ MORE
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4. Structural Information and Hidden Markov Models for Biological Sequence Analysis
Abstract : Bioinformatics is a fast-developing field, which makes use of computational methods to analyse and structure biological data. An important branch of bioinformatics is structure and function prediction of proteins, which is often based on finding relationships to already characterized proteins. READ MORE
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5. Approaches to differential gene expression analysis in atherosclerosis
Abstract : Todays rapid development of powerful tools for geneexpression analysis provides unprecedented resources forelucidating complex molecular events.The objective of this workhas been to apply, combine andevaluate tools for analysis of differential gene expressionusing atherosclerosis as a model system. READ MORE