Sökning: "OPLS"

Visar resultat 1 - 5 av 32 avhandlingar innehållade ordet OPLS.

  1. 1. Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets

    Författare :Max Bylesjö; Johan Trygg; Tormod Naes; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Chemometrics; orthogonal projections to latent structures; OPLS; O2PLS; K-OPLS; kernel-based; non-linear; regression; classification; Populus; Chemistry; Kemi;

    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. 2. The relationship between fly ash chemistry and the thermal formation of polychlorinated pollutants during waste incineration

    Författare :Duong Ngoc Chau Phan; Stellan Marklund; Bogdan Dlugogorski; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Incinerations; dioxins; PCDD Fs; PCBs; PCNs; flue gas; fly ash; sampling; particle characterization; XPS; XRD; SEM EDX; formation; chlorination; PCA; OPLS; OPLS-DA;

    Sammanfattning : The thermal formation of polychlorinated dibenzo-p-dioxins (PCDDs), dibenzofurans (PCDFs), biphenyls (PCBs), and naphthalenes (PCNs) is a major problem in waste incineration. Ideally, rather than relying on air cleaning systems and treatment techniques, their formation should be minimized or, if possible eliminated. LÄS MER

  3. 3. Exploration of Multivariate Evaluation Techniques in Surface Enhanced Raman Spectroscopy (SERS)

    Författare :Aamer Abbas; Chalmers University of Technology; []
    Nyckelord :carotenoids; surface enhanced raman spectroscopy; orthogonal partial least squares; target orthogonal partial least squares; chemical imaging; OPLS; PLS; cytarbine; raman; hyperspectral; idarubicin; T-OPLS; doxorubicin; lymphocytes; multivariate analysis; 4-mercaptobenzonitrile; internal standard;

    Sammanfattning : .... LÄS MER

  4. 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

    Författare :Beatriz Galindo-Prieto; Johan Trygg; Lennart Eriksson; Paul Geladi; Olav M. Kvalheim; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Variable influence on projection; VIP; MB-VIOP; orthogonal projections to latent structures; OPLS; O2PLS; OnPLS; variable selection; variable importance in multiblock regression; Computer Science; datalogi;

    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. 5. Improving interpretation by orthogonal variation : Multivariate analysis of spectroscopic data

    Författare :Hans Stenlund; Johan Trygg; Tom Fearn; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; OPLS; PLS; Multivariate Analysis; Orthogonal variation; Chemometrics; hyperspectral images; FTIR; NIR; spectroscopy; Chemistry; Kemi;

    Sammanfattning : The desire to use the tools and concepts of chemometrics when studying problems in the life sciences, especially biology and medicine, has prompted chemometricians to shift their focus away from their field‘s traditional emphasis on model predictivity and towards the more contemporary objective of optimizing information exchange via model interpretation. The complex data structures that are captured by modern advanced analytical instruments open up new possibilities for extracting information from complex data sets. LÄS MER