Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data.
about
Stochastic amplification and signaling in enzymatic futile cycles through noise-induced bistability with oscillationsQuantitative inference of dynamic regulatory pathways via microarray dataComputationally derived points of fragility of a human cascade are consistent with current therapeutic strategiesPlato's cave algorithm: inferring functional signaling networks from early gene expression shadowsReconstruction of extended Petri nets from time series data and its application to signal transduction and to gene regulatory networks.A dynamic time order network for time-series gene expression data analysis.Gene regulatory network modeling using literature curated and high throughput data.Sparsity as cellular objective to infer directed metabolic networks from steady-state metabolome data: a theoretical analysis.A unified framework for unraveling the functional interaction structure of a biomolecular network based on stimulus-response experimental data.A methodology for the structural and functional analysis of signaling and regulatory networks.Least-squares methods for identifying biochemical regulatory networks from noisy measurements.Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models.A network analysis of the human T-cell activation gene network identifies JAGGED1 as a therapeutic target for autoimmune diseasesInferring time-varying network topologies from gene expression data.Comparisons of robustness and sensitivity between cancer and normal cells by microarray dataMetabolic network discovery through reverse engineering of metabolome data.Noise management by molecular networksDeveloping optimal input design strategies in cancer systems biology with applications to microfluidic device engineering.Nonlinear dynamic trans/cis regulatory circuit for gene transcription via microarray data.Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling.Identification of crosstalk between phosphoprotein signaling pathways in RAW 264.7 macrophage cells.Inference of gene regulatory networks using time-series data: a surveyAnalysing microarray data in drug discovery using systems biology.Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topologyRanked prediction of p53 targets using hidden variable dynamic modeling.Exact reconstruction of gene regulatory networks using compressive sensingInferring cell-scale signalling networks via compressive sensing.Systems interface biology.Iterative experiment design guides the characterization of a light-inducible gene expression circuitIn silico model-based inference: an emerging approach for inverse problems in engineering better medicinesMapping complex disease traits with global gene expression.The dynamic systems approach to control and regulation of intracellular networks.Discriminating direct and indirect connectivities in biological networks.Optimization-based inference for temporally evolving networks with applications in biologyInferring sparse networks for noisy transient processesOscillations in the immune system.Comparison of reverse-engineering methods using an in silico network.Reverse engineering validation using a benchmark synthetic gene circuit in human cells.Cutting the wires: modularization of cellular networks for experimental design.T cells translate individual, quantal activation into collective, analog cytokine responses via time-integrated feedbacks.
P2860
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P2860
Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data.
description
2004 nî lūn-bûn
@nan
2004 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի մարտին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Inferring dynamic architecture ...... , protein and metabolite data.
@ast
Inferring dynamic architecture ...... , protein and metabolite data.
@en
type
label
Inferring dynamic architecture ...... , protein and metabolite data.
@ast
Inferring dynamic architecture ...... , protein and metabolite data.
@en
prefLabel
Inferring dynamic architecture ...... , protein and metabolite data.
@ast
Inferring dynamic architecture ...... , protein and metabolite data.
@en
P356
P1433
P1476
Inferring dynamic architecture ...... , protein and metabolite data.
@en
P2093
Eduardo Sontag
P304
P356
10.1093/BIOINFORMATICS/BTH173
P407
P577
2004-03-22T00:00:00Z