Sökning: "Johan Trygg"
Visar resultat 1 - 5 av 14 avhandlingar innehållade orden Johan Trygg.
1. Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets
Sammanfattning : With the increasing availability of high-throughput systems for parallel monitoring of multiple variables, e.g. levels of large numbers of transcripts in functional genomics experiments, massive amounts of data are being collected even from single experiments. LÄS MER
2. Chemometrics : Unravelling information from complex data generated by modern instruments
Sammanfattning : Chemometrics is a discipline dedicated to solving problems arising from complicated analytical systems, combining statistics, mathematics, and computational programming languages.This thesis is based on the work developed in four scientific projects published as papers in scientific journals. LÄS MER
3. New strategies and tools for optimizing LC-MS data processing in metabolomics
Sammanfattning : .... LÄS MER
4. Novel variable influence on projection (VIP) methods in OPLS, O2PLS, and OnPLS models for single- and multi-block variable selection : VIPOPLS, VIPO2PLS, and MB-VIOP methods
Sammanfattning : Multivariate and multiblock data analysis involves useful methodologies for analyzing large data sets in chemistry, biology, psychology, economics, sensory science, and industrial processes; among these methodologies, partial least squares (PLS) and orthogonal projections to latent structures (OPLS®) have become popular. Due to the increasingly computerized instrumentation, a data set can consist of thousands of input variables which contain latent information valuable for research and industrial purposes. LÄS MER
5. OnPLS : Orthogonal projections to latent structures in multiblock and path model data analysis
Sammanfattning : The amounts of data collected from each sample of e.g. chemical or biological materials have increased by orders of magnitude since the beginning of the 20th century. Furthermore, the number of ways to collect data from observations is also increasing. LÄS MER