Sökning: "Computer and Information Science Bioinformatics Computational Biology"

Visar resultat 1 - 5 av 16 avhandlingar innehållade orden Computer and Information Science Bioinformatics Computational Biology.

  1. 1. Kinetic Models in Life Science — Contributions to Methods and Applications

    Författare :Joachim Almquist; Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC); []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NLME modeling; kinetic models; FOCE; Mig1; cell-to-cell variability; pharmacokinetics; parameter estimation; ticagrelor; atrial fibrillation; Kv1.5;

    Sammanfattning : Kinetic models in life science combine mathematics and biology to answer questions from areas such as cell biology, physiology, biotechnology, and drug development. The idea of kinetic models is to represent a biological system by a number of biochemical reactions together with mathematical expressions for the reaction kinetics, i.e. LÄS MER

  3. 2. Development of Computational Methods for Cancer Research: Strategies for closing the feedback loop in omics workflows

    Författare :Ufuk Kirik; Institutionen för immunteknologi; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; cancer; proteome profiling; bioinformatics; pathway analysis; mass spectrometry; Quantitative proteomics;

    Sammanfattning : As the ultimate workhorses of the living things, proteins undergo significant regulatory activity throughout the lifetime of a cell or an organism. Many complex diseases effect the protein composition, expression or modification in the cells or tissues they arise in. LÄS MER

  4. 3. Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods

    Författare :Marcin Kruczyk; Jan Komorowski; Joaquin Dopazo; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rough sets; peak finding; gliomas; Alzheimer disease; STAT3; machine learning; feature selection; next generation sequencing;

    Sammanfattning : This thesis is about new and improved computational methods to analyze complex biological data produced by advanced biotechnologies. Such data is not only very large but it also is characterized by very high numbers of features. LÄS MER

  5. 4. Using Trees to Capture Reticulate Evolution : Lateral Gene Transfers and Cancer Progression

    Författare :Ali Tofigh; Jens Lagergren; Mike Steel; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Lateral Gene Tranfer; Horizontal Gene Transfer; Cancer Progression; Bioinformatics; Bioinformatik; Computer science; Datalogi;

    Sammanfattning : The historic relationship of species and genes are traditionally depicted using trees. However, not all evolutionary histories are adequately captured by bifurcating processes and an increasing amount of research is devoted towards using networks or network-like structures to capture evolutionary history. LÄS MER

  7. 5. Synergies between Chemometrics and Machine Learning

    Författare :Rickard Sjögren; Johan Trygg; Olivier Cloarec; Ola Spjuth; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; computational science; machine learning; chemometrics; multivariate data analysis; design of experiments; data science; beräkningsvetenskap; maskininlärning; kemometri; multivariat dataanalys; experimentdesign;

    Sammanfattning : Thanks to digitization and automation, data in all shapes and forms are generated in ever-growing quantities throughout society, industry and science. Data-driven methods, such as machine learning algorithms, are already widely used to benefit from all these data in all kinds of applications, ranging from text suggestion in smartphones to process monitoring in industry. LÄS MER