Perturbation biology: inferring signaling networks in cellular systems
about
Applications of targeted proteomics in systems biology and translational medicineInferring regulatory networks from experimental morphological phenotypes: a computational method reverse-engineers planarian regenerationSystems Biology Approach to Model the Life Cycle of Trypanosoma cruziSystems biology approaches for advancing the discovery of effective drug combinationsEmerging proteomic technologies for elucidating context-dependent cellular signaling events: A big challenge of tiny proportionsInferring causal molecular networks: empirical assessment through a community-based effortTailored parameter optimization methods for ordinary differential equation models with steady-state constraintsCombinatorial drug screening and molecular profiling reveal diverse mechanisms of intrinsic and adaptive resistance to BRAF inhibition in V600E BRAF mutant melanomas.Network inference from AP-MS data: computational challenges and solutions.Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data.Predicting dynamic signaling network response under unseen perturbations.Perturbation biology nominates upstream-downstream drug combinations in RAF inhibitor resistant melanoma cells.Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling.Functional genomic screening approaches in mechanistic toxicology and potential future applications of CRISPR-Cas9.Reconstruction of gene regulatory modules from RNA silencing of IFN-α modulators: experimental set-up and inference methodA Model of Yeast Cell-Cycle Regulation Based on a Standard Component Modeling Strategy for Protein Regulatory Networks.SiGNet: A signaling network data simulator to enable signaling network inference.MoCha: Molecular Characterization of Unknown Pathways.Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway.Consequences of feedback in signal transduction for targeted therapies.Biological networks and drug discovery--where do we stand?Systems Perturbation Analysis of a Large-Scale Signal Transduction Model Reveals Potentially Influential Candidates for Cancer Therapeutics.Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations.Revealing protein networks and gene-drug connectivity in cancer from direct information.Parsimonious modeling with information filtering networks.Current Trends in Multidrug Optimization.Quantitative characterization of the auxin-inducible degron: a guide for dynamic protein depletion in single yeast cellsHow to deal with parameters for whole-cell modelling.Estimating drivers of cell state transitions using gene regulatory network models.Inferring hidden states in Langevin dynamics on large networks: Average case performance.Topological estimation of signal flow in complex signaling networks.Cell signaling heterogeneity is modulated by both cell-intrinsic and -extrinsic mechanisms: An integrated approach to understanding targeted therapy.Perturbing resistance: a network perspective.Improved pathway reconstruction from RNA interference screens by exploiting off-target effects.Inverse statistical problems: from the inverse Ising problem to data scienceTemporal genetic association and temporal genetic causality methods for dissecting complex networks
P2860
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P2860
Perturbation biology: inferring signaling networks in cellular systems
description
2013 nî lūn-bûn
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2013 թուականին հրատարակուած գիտական յօդուած
@hyw
2013 թվականին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
@yue
2013年論文
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2013年論文
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2013年論文
@zh-mo
2013年論文
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2013年论文
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name
Perturbation biology: inferring signaling networks in cellular systems
@ast
Perturbation biology: inferring signaling networks in cellular systems
@en
Perturbation biology: inferring signaling networks in cellular systems
@nl
type
label
Perturbation biology: inferring signaling networks in cellular systems
@ast
Perturbation biology: inferring signaling networks in cellular systems
@en
Perturbation biology: inferring signaling networks in cellular systems
@nl
prefLabel
Perturbation biology: inferring signaling networks in cellular systems
@ast
Perturbation biology: inferring signaling networks in cellular systems
@en
Perturbation biology: inferring signaling networks in cellular systems
@nl
P2093
P2860
P50
P3181
P1476
Perturbation biology: inferring signaling networks in cellular systems
@en
P2093
Anil Korkut
Christine A Pratilas
David B Solit
Evan J Molinelli
Gordon Mills
Nicholas P Gauthier
Poorvi Kaushik
Weiqing Wang
Xiaohong Jing
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1003290
P407
P577
2013-01-01T00:00:00Z