Sökning: "gene regulatory network"

Visar resultat 1 - 5 av 95 avhandlingar innehållade orden gene regulatory network.

  1. 1. 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

  2. 2. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments

    Författare :Torbjörn E. M. Nordling; Elling W Jacobsen; Rolf Findeisen; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; network inference; reverse engineering; variable selection; model selection; feature selection; subset selection; system identification; system theory; network theory; subnetworks; design of experiments; perturbation experiments; gene regulatory networks; biological networks;

    Sammanfattning : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. LÄS MER

  3. 3. Towards Reliable Gene Regulatory Network Inference

    Författare :Daniel Morgan; Erik Sonnhammer; John Quackenbush; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; GRN; network inference; biological systems; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

    Sammanfattning : Phenotypic traits are now known to stem from the interplay between genetic variables across many if not every level of biology. The field of gene regulatory network (GRN) inference is concerned with understanding the regulatory interactions between genes in a cell, in order to build a model that captures the behaviour of the system. LÄS MER

  4. 4. Gene Regulatory Networks: Dynamics and Stability

    Författare :Carl Troein; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; systems; control; Datalogi; numerisk analys; system; kontroll; Computer science; numerical analysis; Fysik; biomathematics biometrics; Bioinformatik; medicinsk informatik; biomatematik; Physics; medical informatics; transcriptional regulation; gene regulatory networks; Bioinformatics; signaling pathway profiling; stem cell regulation; metabolic pathway; fitness; nested canalyzing rules; Kauffman networks; random Boolean networks; Fysicumarkivet:2007:Troein;

    Sammanfattning : Life as we know it is based on cells that use proteins and RNA to carry out metabolism, self-replication, and other essential tasks. The genes that code for these molecules are encoded in DNA, and through the processes of transcription and translation the cell expresses its genes. LÄS MER

  5. 5. In silico modelling for refining gene regulatory network inference

    Författare :Thomas Hillerton; Erik L. L. Sonnhammer; Richard Bonneau; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Gene regulatory networks; simulation; benchmarking; method development; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Sammanfattning : Gene regulation is at the centre of all cellular functions, regulating the cell's healthy and pathological responses. The interconnected system of regulatory interactions is known as the gene regulatory network (GRN), where genes influence each other to maintain strict and robust control. LÄS MER