Search for dissertations about: "gene expression noise"

Showing result 1 - 5 of 25 swedish dissertations containing the words gene expression noise.

2. 1. Statistical analysis of gene expression data

   Author : Erik Kristiansson; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; gene expression; DNA microarrays; linear models; empirical Bayes; quality control; gene regulation; categorical data analysis; logistic regression; heavy metal stress; ecotoxicology; gene expression;

   Abstract : Microarray technology has become one of the most important tools for genome-wide mRNA measurements. The technique has been successfully applied to many areas in modern biology including cancer research, identification of drug targets, and categorization of genes involved in the cell cycle. READ MORE

4. 2. Signals and Noise in Complex Biological Systems

   Author : Johan Rung; Erkki Brändas; Måns Ehrenberg; Uppsala universitet; []
   Keywords : Engineering physics; complex systems; computational biology; gene networks; genome-wide; stochastic resonance; microarray; diabetes; association study; transcription regulation; gene expression; Teknisk fysik;

   Abstract : In every living cell, millions of different types of molecules constantly interact and react chemically in a complex system that can adapt to fluctuating environments and extreme conditions, living to survive and reproduce itself. The information required to produce these components is stored in the genome, which is copied in each cell division and transferred and mixed with another genome from parent to child. READ MORE

5. 3. Quantification of gene expression in single cells

   Author : Martin Bengtsson; Islet cell physiology; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Medicin människa och djur ; Medicine human and vertebrates ; Biomedical sciences; Biomedicinska vetenskaper; quantitative gene expression analysis; single cell PCR; islets of Langerhans;

   Abstract : Studies of apparently homogeneous cell populations and single cells often give highly divergent results. Cells exhibit varying responsiveness to stimuli and gene expression and they are in many aspects stochastic and unpredictable. We have developed a method to measure gene expression quantitatively in individual cells with real-time RT-PCR. READ MORE

6. 4. Approaches to differential gene expression analysis in atherosclerosis

   Author : Tove Andersson; KTH; []
   Keywords : representational difference analysis; gene expression profiling; microarray analysis; atherosclerosis; foam cell formation;

   Abstract : Today’s 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

7. 5. Population genomic analyses of regulatory variation and selection in Brassicaceae species

   Author : Robert Horvath; Tanja Slotte; Peter Hambäck; Douglas G. Scofield; Matthew Webster; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Capsella grandiflora; Arabidopsis thaliana; Arabidopsis lyrata; natural selection; gene expression variation; DNA and gene body methylation; transposable elements; DNA accessibility; gene expression noise; epigenetic silencing; linked selection; ekologi och evolution; Ecology and Evolution;

   Abstract : The impact of selection on regulatory variation and the contribution of regulatory changes to phenotypic variation has long been debated in evolutionary genetics. Because cis-regulatory elements such as promoters and enhancers can be difficult to identify, it has been more challenging to quantify the impact of selection on variation in cis-regulatory regions than in protein-coding regions. READ MORE