Search for dissertations about: "spike-in data"

Showing result 1 - 5 of 9 swedish dissertations containing the words spike-in data.

  2. 1. Normalization and analysis of high-dimensional genomics data

    Author : Mattias Landfors; Patrik Rydén; Rebecka Jörnsten; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; normalization; pre-processing; microarray; downstream analysis; evaluation; sensitivity; bias; genomics data; gene expression; spike-in data; ChIP-chip; Mathematical Statistics; matematisk statistik;

    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

  4. 2. Robust machine learning methods

    Author : Muhammad Osama; Dave Zachariah; Thomas B. Schön; Visa Koivunen; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; artificial intelligence; machine learning; risk minimization; data corruption; decision policy; conformal methods; data from contexts; online learning; spice; robust; causal inference; point process; localization; distribution uncertainty; treatment rules; quantile treatment; predicting count data; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    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

  5. 3. Normalization and Differential Gene Expression Analysis of Microarray Data

    Author : Magnus Åstrand; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    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

  6. 4. Regression on high-dimensional predictor space : with application in chemometrics and microarray data

    Author : Arief Gusnanto; Karolinska Institutet; Karolinska Institutet; []
    Keywords : Regression; near-infrared calibration; microarray; mixed model; logistic regression; random effects; variable selection; differential expression; mixture distribution;

    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

  7. 5. Statistical methods for biomarker discovery in proteomics

    Author : Chuen Seng Tan; Karolinska Institutet; Karolinska Institutet; []
    Keywords : Proteomics; mass spectrometry; SELDI; MALDI; peak detection; signal detection; peak annotation; transcriptomics; data integration; maximum covariance analysis; generalized singular value decomposition;

    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