Search for dissertations about: "gene network analysis"

Showing result 1 - 5 of 123 swedish dissertations containing the words gene network analysis.

  1. 1. Network and gene expression analyses for understanding protein function

    Author : Oliver Frings; Erik Sonnhammer; Rune Linding; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; biological networks; network inference; network analysis; clustering; network module; network crosstalk; expression analysis; gene signature; biomarker; biokemi; inriktning teoretisk kemi; Biochemistry with Emphasis on Theoretical Chemistry;

    Abstract : Biological function is the result of a complex network of functional associations between genes or their products. Modeling the dynamics underlying biological networks is one of the big challenges in bioinformatics. READ MORE

  2. 2. Functional association networks for disease gene prediction

    Author : Dimitri Guala; Erik L L Sonnhammer; Hjalmar Brismar; Yves Moreau; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; network biology; biological networks; network prediction; functional association; functional coupling; network integration; functional association networks; genome-wide association networks; gene networks; protein networks; fret; functional enrichment analysis; network cross-talk; pathway annotation; gene prioritisation; network-based gene prioritization; benchmarking; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

    Abstract : Mapping of the human genome has been instrumental in understanding diseasescaused by changes in single genes. However, disease mechanisms involvingmultiple genes have proven to be much more elusive. Their complexityemerges from interactions of intracellular molecules and makes them immuneto the traditional reductionist approach. READ MORE

  3. 3. Exploring the Boundaries of Gene Regulatory Network Inference

    Author : Andreas Tjärnberg; Erik Sonnhammer; Richard Bonneau; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; GRN; gene regulatory network; network inference; signal to noise ratio; model selection; variable selection; data properties; reverse engineering; ordinary differential equations; gene networks; linear regression; lasso; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

    Abstract : To understand how the components of a complex system like the biological cell interact and regulate each other, we need to collect data for how the components respond to system perturbations. Such data can then be used to solve the inverse problem of inferring a network that describes how the pieces influence each other. READ MORE

  4. 4. Global functional association network inference and crosstalk analysis for pathway annotation

    Author : Christoph Ogris; Erik Sonnhammer; Alfonso Valencia; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; biological networks; genome wide functional association networks; global gene association networks; gene networks; protein networks; functional association; functional coupling; network biology pathway analysis; pathway annotation; pathway enrichment; network-based enrichment; enrichment; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

    Abstract : Cell functions are steered by complex interactions of gene products, like forming a temporary or stable complex, altering gene expression or catalyzing a reaction. Mapping these interactions is the key in understanding biological processes and therefore is the focus of numerous experiments and studies. READ MORE

  5. 5. Computational analysis on the effects of variations in T and B cells. Primary immunodeficiencies and cancer neoepitopes

    Author : Gabriel Ndipagbornchi Teku; Proteinbioinformatik; []
    Keywords : Network topology; Network dynamics; network modeling; Network Simulation; T cells; B cells; Neoepitopes; Neoantigens; cancer;

    Abstract : Computational approaches are essential to study the effects of inborn and somatic variations. Results from such studies contribute to better diagnosis and therapies. Primary immunodeficiencies (PIDs) are rare inborn defects of key immune response genes. Somatic variations are main drivers of most cancers. READ MORE