A Bayes Regularized Ordinary Differential Equation Model for the Inference of Gene Regulatory Networks

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Biology, Mathematics, Computer Science

• Identifiers
  DOI 10.4018/978-1-60566-685-3.CH006
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Genetic Approach to the Study of Self-Replication

  2010cited by this paper
• Bayesian inference for nonlinear multivariate diffusion models observed with error

  2008cited by this paper
• Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge

  2007cited by this paper
• Dynamical roles of biological regulatory circuits

  2007cited by this paper
• Parameter estimation in ordinary differential equations for biochemical processes using the method of multiple shooting.

  2007cited by this paper
• Towards a theory of biological robustness

  2007cited by this paper
• Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae

  2006cited by this paper
• Least absolute regression network analysis of the murine osteoblast differentiation network

  2006cited by this paper
• Stochastic Transcriptional Regulatory Systems with Time Delays: A Mean-Field Approximation

  2006cited by this paper
• Conservation analysis of large biochemical networks

  2006cited by this paper
• Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities

  2006cited by this paper
• Constructing and analyzing a large-scale gene-to-gene regulatory network Lasso-constrained inference and biological validation

  2005cited by this paper
• Bayesian Network Analysis of Signaling Networks: A Primer

  2005cited by this paper
• Bayesian sparse hidden components analysis for transcription regulation networks

  2005cited by this paper
• BMC Bioinformatics BioMed Central Methodology article Applying dynamic Bayesian networks to perturbed gene expression data

  2005cited by this paper
• A stochastic differential equation model for quantifying transcriptional regulatory network in Saccharomyces cerevisiae

  2005cited by this paper
• Improving the efficiency of SPR moves in phylogenetic tree search methods based on maximum likelihood

  2005cited by this paper
• Dynamic network reconstruction from gene expression data applied to immune response during bacterial infection

  2005cited by this paper
• A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data

  2005cited by this paper
• Qualitative simulation of genetic regulatory networks using piecewise-linear models

  2004cited by this paper
• BIOINFORMATICS ORIGINAL PAPER Systems biology

  2004cited by this paper
• Control of Stochasticity in Eukaryotic Gene Expression

  2004cited by this paper
• Finding regulatory modules through large-scale gene-expression data analysis

  2003cited by this paper
• The yeast cell-cycle network is robustly designed.

  2003cited by this paper
• Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks

  2003cited by this paper
• Noise in eukaryotic gene expression

  2003cited by this paper
• Genetic Network Analyzer: qualitative simulation of genetic regulatory networks

  2003cited by this paper
• Regulation of noise in the expression of a single gene

  2002cited by this paper
• Systems Biology: A Brief Overview

  2002cited by this paper
• Stochastic Gene Expression in a Single Cell

  2002cited by this paper
• Stochastic vs. deterministic modeling of intracellular viral kinetics.

  2002cited by this paper
• Bayesian automatic relevance determination algorithms for classifying gene expression data.

  2002cited by this paper
• Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models

  2001cited by this paper
• Inferring subnetworks from perturbed expression profiles

  2001cited by this paper
• Using Bayesian Networks to Analyze Expression Data

  2000cited by this paper
• Laws for the dynamics of regulatory networks.

  1998cited by this paper
• Positive and Negative Circuits in Dynamical Systems

  1998cited by this paper
• Modeling Gene Expression with Differential Equations

  1998cited by this paper
• Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.

  1998cited by this paper
• The Selection of Prior Distributions by Formal Rules

  1996cited by this paper
• Dynamical behaviour of biological regulatory networks--I. Biological role of feedback loops and practical use of the concept of the loop-characteristic state.

  1995cited by this paper
• A mathematical framework for describing and analysing gene regulatory networks.

  1995cited by this paper
• Optimization by Simulated Annealing

  1983cited by this paper
• On the relation between effector concentration and the rate of induced enzyme synthesis.

  1971cited by this paper
• BIOINFORMATICS ORIGINAL PAPER Systems biology Inferring genetic regulatory logic from expression data

  year unknowncited by this paper

• Considerations on Strategies to Improve EOG Signal Analysis

  2011cites this paper
• A COMPARISON OF LIKELIHOODS FOR DYNAMIC STOCHASTIC MODELS OF BIOLOGICAL NETWORKS

  2009cites this paper
• Radde N, Kuritz K, Thomaseth C, Allgöwer F. the Circuit-breaking Algorithm for Systems with Order Preserving Flow, Bmc Systems Biology, under Review

  year unknowncites this paper