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Moment-based inference predicts bimodality in transient gene expression.

Moment-based inference predicts bimodality in transient gene expression.

http://www.wikidata.org/entity/Q35991607

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Combined model of intrinsic and extrinsic variability for computational network design with application to synthetic biology A computational framework for analyzing stochasticity in gene expression Uncoupled analysis of stochastic reaction networks in fluctuating environments Autoregulation and heterogeneity in expression of human Cripto-1 Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion CERENA: ChEmical REaction Network Analyzer--A Toolbox for the Simulation and Analysis of Stochastic Chemical Kinetics Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints Long-term model predictive control of gene expression at the population and single-cell levels.Stochastic sensitivity analysis and kernel inference via distributional data.Finite state projection based bounds to compare chemical master equation models using single-cell data.Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case study.ODE constrained mixture modelling: a method for unraveling subpopulation structures and dynamics Lessons learned from quantitative dynamical modeling in systems biology.Exact reconstruction of gene regulatory networks using compressive sensing Mapping behavioral specifications to model parameters in synthetic biology.A Nonlinear Mixed Effects Approach for Modeling the Cell-To-Cell Variability of Mig1 Dynamics in Yeast Uncovering distinct protein-network topologies in heterogeneous cell populations.Effect of Intrinsic Noise on the Phenotype of Cell Populations Featuring Solution Multiplicity: An Artificial lac Operon Network Paradigm.Nonlinear mixed-effects modelling for single cell estimation: when, why, and how to use it Iterative experiment design guides the characterization of a light-inducible gene expression circuit What Population Reveals about Individual Cell Identity: Single-Cell Parameter Estimation of Models of Gene Expression in Yeast Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics.Spatial simulations in systems biology: from molecules to cells.Generalized method of moments for estimating parameters of stochastic reaction networks.A moment-convergence method for stochastic analysis of biochemical reaction networks Systematic identification of signal-activated stochastic gene regulation.Reconstruction of Gene Regulatory Networks based on Repairing Sparse Low-rank Matrices A novel role for lncRNAs in cell cycle control during stress adaptation.Osmostress-induced gene expression--a model to understand how stress-activated protein kinases (SAPKs) regulate transcription Reconstructing dynamic molecular states from single-cell time series.Tensor methods for parameter estimation and bifurcation analysis of stochastic reaction networks.An effective method for computing the noise in biochemical networks.Designing experiments to understand the variability in biochemical reaction networks.Method of conditional moments (MCM) for the Chemical Master Equation: a unified framework for the method of moments and hybrid stochastic-deterministic models.A general moment expansion method for stochastic kinetic models.Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space.Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings.Building Predictive Models of Genetic Circuits Using the Principle of Maximum Caliber.

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P2860

Moment-based inference predicts bimodality in transient gene expression.

http://www.wikidata.org/entity/Q35991607

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2012 nî lūn-bûn

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2012年の論文

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年學術文章

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2012年學術文章

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2012年學術文章

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name

Moment-based inference predicts bimodality in transient gene expression.

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Moment-based inference predicts bimodality in transient gene expression.

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type

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Moment-based inference predicts bimodality in transient gene expression.

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Moment-based inference predicts bimodality in transient gene expression.

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Moment-based inference predicts bimodality in transient gene expression.

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Moment-based inference predicts bimodality in transient gene expression.

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Proceedings of the National Academy of Sciences of the United States of America

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Moment-based inference predicts bimodality in transient gene expression

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P2093

Christoph Zechner

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Heinz Koeppl

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Jakob Ruess

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John Lygeros

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Peter Krenn

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P2860

Global analysis of protein expression in yeast

Genomic expression programs in the response of yeast cells to environmental changes

Stochastic gene expression in a single cell

Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise

Osmotic stress signaling and osmoadaptation in yeasts.

Separating intrinsic from extrinsic fluctuations in dynamic biological systems

Data-based identifiability analysis of non-linear dynamical models.

A quantitative study of the Hog1 MAPK response to fluctuating osmotic stress in Saccharomyces cerevisiae.

Solving the chemical master equation using sliding windows.

Identification of models of heterogeneous cell populations from population snapshot data.

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