Identifying sources of variation and the flow of information in biochemical networks
about
Generation and filtering of gene expression noise by the bacterial cell cycle.Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms.Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression.From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional BurstingThe fidelity of dynamic signaling by noisy biomolecular networksCombined model of intrinsic and extrinsic variability for computational network design with application to synthetic biologyStochastic Simulation of Biomolecular Networks in Dynamic EnvironmentsA framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.Noise and information transmission in promoters with multiple internal States.Transient changes in intercellular protein variability identify sources of noise in gene expression.Noise decomposition of intracellular biochemical signaling networks using nonequivalent reportersNucleosomal promoter variation generates gene expression noise.Mapping behavioral specifications to model parameters in synthetic biology.Limits on information transduction through amplitude and frequency regulation of transcription factor activityIntracellular Information Processing through Encoding and Decoding of Dynamic Signaling Features.Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling.Information transfer by leaky, heterogeneous, protein kinase signaling systems.Increased gene expression noise in human cancers is correlated with low p53 and immune activities as well as late stage cancer.Stochastic models of gene transcription with upstream drives: exact solution and sample path characterization.Reconstructing dynamic molecular states from single-cell time series.Contributions of cell growth and biochemical reactions to nongenetic variability of cells.The distribution of fitness effects in an uncertain world.Information processing in the adaptation of Saccharomyces cerevisiae to osmotic stress: an analysis of the phosphorelay systemSystems biology. How information theory handles cell signaling and uncertainty.Contribution of RNA polymerase concentration variation to protein expression noise.Information processing by simple molecular motifs and susceptibility to noiseDesigning experiments to understand the variability in biochemical reaction networks.Information-theoretic analysis of the directional influence between cellular processes.Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings.Stochastic gene expression in Arabidopsis thaliana.Multiple sources of slow activity fluctuations in a bacterial chemosensory network.A geometric analysis of fast-slow models for stochastic gene expression.Estimating the surface area of nonconvex particles from central planar sections.Fundamental limits on sensing chemical concentrations with linear biochemical networks.[Randomness and cell fate].Using temporal correlations and full distributions to separate intrinsic and extrinsic fluctuations in biological systems.
P2860
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P2860
Identifying sources of variation and the flow of information in biochemical networks
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Identifying sources of variation and the flow of information in biochemical networks
@ast
Identifying sources of variation and the flow of information in biochemical networks
@en
type
label
Identifying sources of variation and the flow of information in biochemical networks
@ast
Identifying sources of variation and the flow of information in biochemical networks
@en
prefLabel
Identifying sources of variation and the flow of information in biochemical networks
@ast
Identifying sources of variation and the flow of information in biochemical networks
@en
P2860
P356
P1476
Identifying sources of variation and the flow of information in biochemical networks
@en
P2093
Clive G Bowsher
P2860
P304
P356
10.1073/PNAS.1119407109
P407
P577
2012-04-23T00:00:00Z