Bayesian inference of signaling network topology in a cancer cell line.
about
Bridging scales in cancer progression: mapping genotype to phenotype using neural networksInferring causal molecular networks: empirical assessment through a community-based effortModelling pathways to Rubisco degradation: a structural equation network modelling approachPathway and network analysis of cancer genomesDynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data.Pathway and network approaches for identification of cancer signature markers from omics data.Reverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression DataPAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway.Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines.Causal network inference using biochemical kinetics.Predicting dynamic signaling network response under unseen perturbations.Reconstruction of cellular signal transduction networks using perturbation assays and linear programming.Prediction of signaling cross-talks contributing to acquired drug resistance in breast cancer cells by Bayesian statistical modelingDynamic Bayesian Network Modeling of the Interplay between EGFR and Hedgehog Signaling.A Probabilistic Boolean Network Approach for the Analysis of Cancer-Specific Signalling: A Case Study of Deregulated PDGF Signalling in GIST.SiGNet: A signaling network data simulator to enable signaling network inference.Inferring sparse networks for noisy transient processesThe Local Edge Machine: inference of dynamic models of gene regulation.Context Specificity in Causal Signaling Networks Revealed by Phosphoprotein Profiling.Identifying causal networks linking cancer processes and anti-tumor immunity using Bayesian network inference and metagene constructs.Cancer Systems Biology: a peek into the future of patient care?Bayesian Network Inference Modeling Identifies TRIB1 as a Novel Regulator of Cell-Cycle Progression and Survival in Cancer Cells.Automated inference procedure for the determination of cell growth parameters.Understanding the mTOR signaling pathway via mathematical modeling.Toward a multisubject analysis of neural connectivity.Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures.A prior-based integrative framework for functional transcriptional regulatory network inference.Prophetic Granger Causality to infer gene regulatory networks.Estimating drivers of cell state transitions using gene regulatory network models.Inferring cellular regulatory networks with Bayesian model averaging for linear regression (BMALR).Network inference reveals novel connections in pathways regulating growth and defense in the yeast salt response.Inference of cell type specific regulatory networks on mammalian lineages.Using Regularization to Infer Cell Line Specificity in Logical Network Models of Signaling Pathways.A logic-based method to build signaling networks and propose experimental plans.Reconstructing phosphorylation signalling networks from quantitative phosphoproteomic data
P2860
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P2860
Bayesian inference of signaling network topology in a cancer cell line.
description
2012 nî lūn-bûn
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2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
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2012年學術文章
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name
Bayesian inference of signaling network topology in a cancer cell line.
@ast
Bayesian inference of signaling network topology in a cancer cell line.
@en
type
label
Bayesian inference of signaling network topology in a cancer cell line.
@ast
Bayesian inference of signaling network topology in a cancer cell line.
@en
prefLabel
Bayesian inference of signaling network topology in a cancer cell line.
@ast
Bayesian inference of signaling network topology in a cancer cell line.
@en
P2093
P2860
P356
P1433
P1476
Bayesian inference of signaling network topology in a cancer cell line.
@en
P2093
Gordon B Mills
Jennifer Molina
Joe W Gray
Laura M Heiser
Paul T Spellman
Sach Mukherjee
Steven M Hill
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS514
P407
P50
P577
2012-08-24T00:00:00Z