Computational approaches for analyzing information flow in biological networks.
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Microchip platforms for multiplex single-cell functional proteomics with applications to immunology and cancer researchUsing biological networks to integrate, visualize and analyze genomics dataSingle-cell analysis tools for drug discovery and developmentTuneable resolution as a systems biology approach for multi-scale, multi-compartment computational modelsCell-to-cell variability in cell death: can systems biology help us make sense of it all?In-vivo real-time control of protein expression from endogenous and synthetic gene networksWrangling phosphoproteomic data to elucidate cancer signaling pathwaysAutomatic generation of predictive dynamic models reveals nuclear phosphorylation as the key Msn2 control mechanism.A multiscale, mechanism-driven, dynamic model for the effects of 5α-reductase inhibition on prostate maintenanceLeveraging systems biology approaches in clinical pharmacologyDeciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin Actiont4 workshop report: Pathways of ToxicityA systems' biology approach to study microRNA-mediated gene regulatory networksNetwork generation enhances interpretation of proteomics data sets by a combination of two-dimensional polyacrylamide gel electrophoresis and matrix-assisted laser desorption/ionization-time of flight mass spectrometry.Three-factor models versus time series models: quantifying time-dependencies of interactions between stimuli in cell biology and psychobiology for short longitudinal data.Single cell proteomics in biomedicine: High-dimensional data acquisition, visualization and analysis.Data-driven reverse engineering of signaling pathways using ensembles of dynamic models.Proteogenomic convergence for understanding cancer pathways and networks.Paradoxical results in perturbation-based signaling network reconstructionA Systemic Analysis of Transcriptomic and Epigenomic Data To Reveal Regulation Patterns for Complex DiseaseBiosensor architectures for high-fidelity reporting of cellular signaling.Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling.Integrating protein-protein interaction networks with phenotypes reveals signs of interactions.Pathway reporter genes define molecular phenotypes of human cellsHuman systems immunology: hypothesis-based modeling and unbiased data-driven approaches.Temporal decoding of MAP kinase and CREB phosphorylation by selective immediate early gene expressionA flood-based information flow analysis and network minimization method for gene regulatory networks.A generalised enzyme kinetic model for predicting the behaviour of complex biochemical systemsUse of mechanistic models to integrate and analyze multiple proteomic datasetspwOmics: an R package for pathway-based integration of time-series omics data using public database knowledge.Dynamic Redox Regulation of IL-4 Signaling.Discriminating direct and indirect connectivities in biological networks.Integrated experimental and model-based analysis reveals the spatial aspects of EGFR activation dynamics.Insights into erlotinib action in pancreatic cancer cells using a combined experimental and mathematical approach.Hypoxia induces a phase transition within a kinase signaling network in cancer cellsReverse engineering validation using a benchmark synthetic gene circuit in human cells.Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.Network quantification of EGFR signaling unveils potential for targeted combination therapy.Measurement and modeling of signaling at the single-cell level.Modeling regulatory networks to understand plant development: small is beautiful.
P2860
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P2860
Computational approaches for analyzing information flow in biological networks.
description
article científic
@ca
article scientifique
@fr
articol științific
@ro
articolo scientifico
@it
artigo científico
@gl
artigo científico
@pt
artigo científico
@pt-br
artikel ilmiah
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artikull shkencor
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artículo científico
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name
Computational approaches for analyzing information flow in biological networks.
@en
type
label
Computational approaches for analyzing information flow in biological networks.
@en
prefLabel
Computational approaches for analyzing information flow in biological networks.
@en
P2860
P1433
P1476
Computational approaches for analyzing information flow in biological networks.
@en
P2093
Michael B Yaffe
P2860
P356
10.1126/SCISIGNAL.2002961
P577
2012-04-17T00:00:00Z