Sökning: "Statistical Computing"

Visar resultat 6 - 10 av 57 avhandlingar innehållade orden Statistical Computing.

  1. 6. Numerical Algorithms for Mapping of Multiple Quantitative Trait Loci in Experimental Populations

    Författare :Kajsa Ljungberg; Sverker Holmgren; Örjan Carlborg; Margot Gerritsen; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Scientific computing; Beräkningsvetenskap; Scientific Computing;

    Sammanfattning : Most traits of medical or economic importance are quantitative, i.e. they can be measured on a continuous scale. Strong biological evidence indicates that quantitative traits are governed by a complex interplay between the environment and multiple quantitative trait loci, QTL, in the genome. LÄS MER

  3. 7. An e-Science Approach to Genetic Analysis of Quantitative Traits

    Författare :Mahen Jayawardena; Sverker Holmgren; Erwin Laure; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; QTL Analysis; Grid Computing; Global Optimization; e-Science; Beräkningsvetenskap; Scientific Computing;

    Sammanfattning : Many important traits in plants, animals and humans are quantitative, and most such traits are generally believed to be affected by multiple genetic loci. Standard computational tools for mapping of quantitative traits (i.e. LÄS MER

  4. 8. Development of New Approaches to ATLAS Detector Simulation and Dark Matter Searches with Trigger Level Analysis

    Författare :Caterina Marcon; Partikel- och kärnfysik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; particle physics; computing; Geant4; optimizations; dark matter; di-jet resonances; ATLAS; LHC; Fysicumarkivet A:2021:Marcon;

    Sammanfattning : Elementary particles and their interactions are successfully described by the Standard Model of particle physics (SM). However, it has been observed that extensions Beyond the Standard Model (BSM) are required to account for a large part of yet undiscovered particles and interactions, such as Dark Matter (DM). LÄS MER

  5. 9. Analysis of large-scale metagenomic data

    Författare :Fredrik Boulund; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; metagenomics; DNA analysis; big data; antibiotic resistance; hidden Markov models; high-performance computing; distributed computing; distributed computing;

    Sammanfattning : The topic of this thesis is the analysis of large data sets of DNA sequence data produced from modern high-throughput DNA sequencing machines. Using such machines to sequence the genetic content of a microbial community produces a metagenome. This thesis comprises three research papers, all connected to the study of large metagenomic data sets. LÄS MER

  7. 10. Contributions to the Use of Statistical Methods for Improving Continuous Production

    Författare :Francesca Capaci; Erik Vanhatalo; Bjarne Bergquist; Murat Kulahci; Johan Carlson; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Process industry; Continuous process; Statistical process control; Design of experiments; Process improvements; Simulation tool; Engineering process control; Kvalitetsteknik; Quality Technology Management;

    Sammanfattning : Complexity of production processes, high computing capabilities, and massive datasets characterize today’s manufacturing environments, such as those of continuous andbatch production industries. Continuous production has spread gradually acrossdifferent industries, covering a significant part of today’s production. LÄS MER