Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks.
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Comparison of co-expression measures: mutual information, correlation, and model based indicesComparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks.Reconstructing generalized logical networks of transcriptional regulation in mouse brain from temporal gene expression dataInference of gene regulatory networks using time-series data: a surveySystems biology of cancer: a challenging expedition for clinical and quantitative biologistsDiscrete dynamical system modelling for gene regulatory networks of 5-hydroxymethylfurfural tolerance for ethanologenic yeastFinding consistent disease subnetworks across microarray datasets.Stochastic Boolean networks: an efficient approach to modeling gene regulatory networks.Inverse perturbation for optimal intervention in gene regulatory networksRule-based regulatory and metabolic model for Quorum sensing in P. aeruginosa.Inference of gene regulatory networks based on a universal minimum description lengthA Probabilistic Boolean Network Approach for the Analysis of Cancer-Specific Signalling: A Case Study of Deregulated PDGF Signalling in GIST.Evaluation and improvement of the regulatory inference for large co-expression networks with limited sample size.Biochemical and statistical network models for systems biologyRecent development and biomedical applications of probabilistic Boolean networks.A Survey of Statistical Models for Reverse Engineering Gene Regulatory Networks.Biological Resource Centers and Systems Biology.Mechanisms and evolution of control logic in prokaryotic transcriptional regulation.Gene regulatory network inference and validation using relative change ratio analysis and time-delayed dynamic Bayesian network.Inference of gene regulatory networks using boolean-network inference methods.Inference of a probabilistic Boolean network from a single observed temporal sequence.FALCON: a toolbox for the fast contextualization of logical networks.Deterministic and stochastic models of genetic regulatory networks.Methods for Optimal Intervention in Gene Regulatory Networks.Dynamic modeling of gene expression in prokaryotes: application to glucose-lactose diauxie in Escherichia coli.A tutorial on analysis and simulation of boolean gene regulatory network models.An approximation method for solving the steady-state probability distribution of probabilistic Boolean networks.Using Regularization to Infer Cell Line Specificity in Logical Network Models of Signaling Pathways.Introduction to Systems Biology for Animal Scientists
P2860
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P2860
Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Relationships between probabil ...... s of gene regulatory networks.
@ast
Relationships between probabil ...... s of gene regulatory networks.
@en
type
label
Relationships between probabil ...... s of gene regulatory networks.
@ast
Relationships between probabil ...... s of gene regulatory networks.
@en
prefLabel
Relationships between probabil ...... s of gene regulatory networks.
@ast
Relationships between probabil ...... s of gene regulatory networks.
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P2860
P50
P1433
P1476
Relationships between probabil ...... s of gene regulatory networks.
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P2860
P304
P356
10.1016/J.SIGPRO.2005.06.008
P577
2006-04-01T00:00:00Z