KELLER: estimating time-varying interactions between genes.
about
Network analysis of breast cancer progression and reversal using a tree-evolving network algorithmDREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression dataInference of dynamic networks using time-course data.Toward the dynamic interactome: it's about time.Connectivity mapping of the human ECoG during a motor task with a time-varying dynamic Bayesian networkReconstruction of stochastic temporal networks through diffusive arrival times.Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data.NETGEM: Network Embedded Temporal GEnerative Model for gene expression data.Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection.TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information.RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.Enabling dynamic network analysis through visualization in TVNViewerDetecting temporal protein complexes from dynamic protein-protein interaction networks.TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.Inferring regulatory networks by combining perturbation screens and steady state gene expression profiles.Detecting Protein Complexes in Protein Interaction Networks Modeled as Gene Expression Biclusters.How networks change with time.Hidden Markov induced Dynamic Bayesian Network for recovering time evolving gene regulatory networks.New Method for Joint Network Analysis Reveals Common and Different Coexpression Patterns among Genes and Proteins in Breast CancerReconstruction of Gene Regulatory Networks based on Repairing Sparse Low-rank MatricesJoint Estimation of Multiple Graphical Models from High Dimensional Time Series.Estimating time-varying directed gene regulation networks.The joint graphical lasso for inverse covariance estimation across multiple classes.Robust reverse engineering of dynamic gene networks under sample size heterogeneity.Thermodynamic characterization of networks using graph polynomials.Sparse and low-rank matrix regularization for learning time-varying Markov networks
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KELLER: estimating time-varying interactions between genes.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on June 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
KELLER: estimating time-varying interactions between genes.
@en
KELLER: estimating time-varying interactions between genes.
@nl
type
label
KELLER: estimating time-varying interactions between genes.
@en
KELLER: estimating time-varying interactions between genes.
@nl
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KELLER: estimating time-varying interactions between genes.
@en
KELLER: estimating time-varying interactions between genes.
@nl
P2093
P2860
P356
P1433
P1476
KELLER: estimating time-varying interactions between genes.
@en
P2093
Eric P Xing
Mladen Kolar
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP192
P407
P577
2009-06-01T00:00:00Z