Sökning: "Hidden Markov model"

Visar resultat 36 - 40 av 70 avhandlingar innehållade orden Hidden Markov model.

  1. 36. Statistical modelling and analyses of DNA sequence data with applications to metagenomics

    Författare :Mariana Buongermino Pereira; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; generalised hidden Markov models; gene abundance data; metagenomics; statistical modelling; bioinformatics; normalisation; DNA sequence data; bioinformatics;

    Sammanfattning : Microorganisms are organised in complex communities and are ubiquitous in all ecosystems, including natural environments and inside the human gut. Metagenomics, which is the direct sequencing of DNA from a sample, enables studying the collective genomes of the organisms that are there present. LÄS MER

  3. 37. Learning from Interactions : Forward and Inverse Decision-Making for Autonomous Dynamical Systems

    Författare :Inês de Miranda de Matos Lourenço; Bo Wahlberg; Sandra Hirche; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Intelligent systems; autonomous decision-making; Reinforcement Learning; Markov models; Human-Robot Interaction; Biologically-inspired systems; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Decision-making is the mechanism of using available information to generate solutions to given problems by forming preferences, beliefs, and selecting courses of action amongst several alternatives. In this thesis, we study the mechanisms that generate behavior (the forward problem) and how their characteristics can explain observed behavior (the inverse problem). LÄS MER

  4. 38. Evolutionary Approaches to Sequence Alignment

    Författare :Marcin Bogusz; Simon Whelan; Jeffrey Thorne; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; molecular evolution; multiple sequence alignment; pair hidden Markov models; Biology with specialization in Evolutionary Genetics; Biologi med inriktning mot evolutionär genetik;

    Sammanfattning : Molecular evolutionary biology allows us to look into the past by analyzing sequences of amino acids or nucleotides. These analyses can be very complex, often involving advanced statistical models of sequence evolution to construct phylogenetic trees, study the patterns of natural selection and perform a number of other evolutionary studies. LÄS MER

  5. 39. Using Markov models and a stochastic Lipschitz condition for genetic analyses

    Författare :Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

    Sammanfattning : A proper understanding of biological processes requires an understanding of genetics and evolutionary mechanisms. The vast amounts of genetical information that can routinely be extracted with modern technology have so far not been accompanied by an equally extended understanding of the corresponding processes. LÄS MER

  7. 40. Pharmacometric models in the development of biological medicinal products

    Författare :Ari Brekkan; Mats Karlsson; Siv Jönsson; Philip Lowe; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; model-based analysis; NONMEM; population modelling.;

    Sammanfattning : Biological medicinal products (BMPs) are a successful class of drugs that are indicated in numerous diseases.  Common among them is that complexities associated with their manufacture and analysis lead to a high cost compared to small-molecular weight drugs. LÄS MER