Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data.
about
Linear effects models of signaling pathways from combinatorial perturbation data.R-based software for the integration of pathway data into bioinformatic algorithms.Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data.Spatial normalization of reverse phase protein array data.Sparse Bayesian Graphical Models for RPPA Time Course Data.Newly Constructed Network Models of Different WNT Signaling Cascades Applied to Breast Cancer Expression DataHow to interpret the results of medical time series data analysis: Classical statistical approaches versus dynamic Bayesian network modeling.Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines.Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'Network inference using steady-state data and Goldbeter-Koshland kinetics. [corrected]Reconstruction of cellular signal transduction networks using perturbation assays and linear programming.optPBN: an optimisation toolbox for probabilistic Boolean networks.Bayesian inference of signaling network topology in a cancer cell line.Computational approaches for analyzing information flow in biological networks.A systems biology approach to identify the signalling network regulated by Rho-GDI-γ during neural stem cell differentiation.Reconstruction of the temporal signaling network in Salmonella-infected human cellsA Bayesian hierarchical model for inference across related reverse phase protein arrays experiments.lpNet: a linear programming approach to reconstruct signal transduction networks.Considering unknown unknowns: reconstruction of nonconfoundable causal relations in biological networks.CANA: A Python Package for Quantifying Control and Canalization in Boolean Networks
P2860
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P2860
Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Dynamic deterministic effects ...... ngitudinal protein array data.
@ast
Dynamic deterministic effects ...... ngitudinal protein array data.
@en
type
label
Dynamic deterministic effects ...... ngitudinal protein array data.
@ast
Dynamic deterministic effects ...... ngitudinal protein array data.
@en
prefLabel
Dynamic deterministic effects ...... ngitudinal protein array data.
@ast
Dynamic deterministic effects ...... ngitudinal protein array data.
@en
P2860
P50
P356
P1433
P1476
Dynamic deterministic effects ...... ngitudinal protein array data.
@en
P2093
Christian Bender
Tim Beissbarth
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ385
P407
P577
2010-09-01T00:00:00Z