Search for dissertations about: "microarray data analysis"
Showing result 1 - 5 of 162 swedish dissertations containing the words microarray data analysis.
-
1. Normalization and analysis of high-dimensional genomics data
Abstract : In the middle of the 1990’s the microarray technology was introduced. The technology allowed for genome wide analysis of gene expression in one experiment. Since its introduction similar high through-put methods have been developed in other fields of molecular biology. READ MORE
-
2. 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
-
3. Statistical and Functional Analysis of Genomic and Proteomic Data
Abstract : High-throughput technologies have led to an explosion in the availability of data at the genome scale. Such data provide important information about cellular processes and causes of human diseases, as well as for drug discovery. Deciphering the biologically relevant results from these data requires comprehensive analytical methods. READ MORE
-
4. Low-level analysis of microarray data
Abstract : This thesis consists of an extensive introduction followed by seven papers (A-F) on low-level analysis of microarray data. Focus is on calibration and normalization of observed data. The introduction gives a brief background of the microarray technology and its applications in order for anyone not familiar with the field to read the thesis. READ MORE
-
5. Weighted Analysis of Microarray Experiments
Abstract : DNA microarrays are strikingly efficient tools for analysing gene expression for large sets of genes simultaneously. The aim is often to identify genes which are differentially expressed between some studied conditions, thereby gaining insight into which cellular mechanisms are differently active between the conditions. READ MORE