Sökning: "gene network analysis"

Visar resultat 1 - 5 av 135 avhandlingar innehållade orden gene network analysis.

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

   Författare :Oliver Frings; Erik Sonnhammer; Rune Linding; Stockholms universitet; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 2. Functional association networks for disease gene prediction

   Författare :Dimitri Guala; Erik L L Sonnhammer; Hjalmar Brismar; Yves Moreau; Stockholms universitet; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

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

   Författare :Andreas Tjärnberg; Erik Sonnhammer; Richard Bonneau; Stockholms universitet; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

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

   Författare :Christoph Ogris; Erik Sonnhammer; Alfonso Valencia; Stockholms universitet; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

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

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

   Sammanfattning : 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. LÄS MER