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Showing result 1 - 5 of 24 swedish dissertations matching the above criteria.

  2. 1. Probabilistic Sequence Models with Speech and Language Applications

    Author : Gustav Eje Henter; W. Bastiaan Kleijn; Arne Leijon; Gernot Kubin; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time series; acoustic modelling; speech synthesis; stochastic processes; causal-state splitting reconstruction; robust causal states; pattern discovery; Markov models; HMMs; nonparametric models; Gaussian processes; Gaussian process dynamical models; nonlinear Kalman filters; information theory; minimum entropy rate simplification; kernel density estimation; time-series bootstrap;

    Abstract : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. READ MORE

  4. 2. From protein sequence to structural instability and disease

    Author : Lixiao Wang; Uwe Sauer; Sven Hovmöller; Umeå universitet; []
    Keywords : protein domain; remote homologue; intrinsically disorder unstructured proteins; protein function; point mutation; protein family protein stability; HMMs; CRFs; SVMs;

    Abstract : A great challenge in bioinformatics is to accurately predict protein structure and function from its amino acid sequence, including annotation of protein domains, identification of protein disordered regions and detecting protein stability changes resulting from amino acid mutations. The combination of bioinformatics, genomics and proteomics becomes essential for the investigation of biological, cellular and molecular aspects of disease, and therefore can greatly contribute to the understanding of protein structures and facilitating drug discovery. READ MORE

  5. 3. Contributions to reciprocal processes

    Author : Stefane Saize; Xiangfeng Yang; Torkel Erhardsson; Timo Koski; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Reciprocal processes are stochastic processes such that the current state only depends on the nearest past and future, and they have found many applications in various fields such as Euclidean quantum physics. This thesis focuses on the study of some classes of reciprocal processes in both discrete-time and continuous-time frameworks. READ MORE

  6. 4. Structural Information and Hidden Markov Models for Biological Sequence Analysis

    Author : Jeanette Tångrot; Bo Kågström; Uwe H. Sauer; Erik Sonnhammer; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; HMM; structure alignment; protein structure; secondary structure; remote homologue; annotation; domain family; protein family; protein superfamily; protein fold recognition; Bioinformatics; Bioinformatik;

    Abstract : Bioinformatics is a fast-developing field, which makes use of computational methods to analyse and structure biological data. An important branch of bioinformatics is structure and function prediction of proteins, which is often based on finding relationships to already characterized proteins. READ MORE

  7. 5. The use of structural information to improve biological sequence similarity searches

    Author : Jeanette Tångrot; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bioinformatik; Hidden Markov Model; HMM; protein structure alignment; protein structure superimposition; remote homologue; FISH-server; protein annotation; Bioinformatics; Bioinformatik;

    Abstract : Bioinformatics is a fast-developing field that make use of computational methods to analyse and structure biological data. An important branch of bioinformatics is structure and function prediction of proteins. To determine the structure of a protein is a crucial part in the characterisation of the molecule. READ MORE