Sökning: "OnPLS"
Hittade 4 avhandlingar innehållade ordet OnPLS.
1. 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
2. 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
3. Multivariate integration and visualization of multiblock data in chemical and biological applications
Sammanfattning : Thanks to improvements in technology more data than ever before is generated in almost all fields of science and industry.The data is analyzed to hopefully provide valuable information and knowledge about a product or process, such as how to improve the quality of a manufactured product. LÄS MER
4. Combined profiling in aspen : a systems biology approach
Sammanfattning : This thesis presents efficient systems biology modelling strategies for integrating complex multi-platform datasets in order to increase our understanding of stress biology, wood formation and secondary cell wall formation in Populus trees and connected responses to perturbations in organisms, particularly aspen. It is based on studies reported in four appended papers, designated Papers I-IV. LÄS MER