Search for dissertations about: "spike-in data"
Showing result 1 - 5 of 9 swedish dissertations containing the words spike-in data.
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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
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2. Robust machine learning methods
Abstract : We are surrounded by data in our daily lives. The rent of our houses, the amount of electricity units consumed, the prices of different products at a supermarket, the daily temperature, our medicine prescriptions, our internet search history are all different forms of data. Data can be used in a wide range of applications. READ MORE
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3. Normalization and Differential Gene Expression Analysis of Microarray Data
Abstract : DNA microarray technologies have the capability of simultaneously measuring the abundance of thousands of mRNA-sequences. Analysis of microarray data involves many different steps such as image analysis, background correction, and normalization, but also more classical statistical analysis such as testing for significant differences between groups of arrays. READ MORE
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4. Regression on high-dimensional predictor space : with application in chemometrics and microarray data
Abstract : This thesis focuses on regression methodology for prediction and classification in situations where there are many predictors but limited number of observations. This situation is common in chemometrics and microarray data. READ MORE
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5. Statistical methods for biomarker discovery in proteomics
Abstract : Surface-Enhanced Laser Desorption and Ionization (SELDI) is a promising proteomic technique for discovering biomarkers. However, the pre-processing of the raw data is still problematic. READ MORE