Reconstructing gene regulatory networks with bayesian networks by combining expression data with multiple sources of prior knowledge.
about
Modeling gene expression regulatory networks with the sparse vector autoregressive modelIntegrated analysis of transcriptomic and proteomic dataGene regulatory network modeling via global optimization of high-order dynamic Bayesian networkIdentification of immunity-related genes in Arabidopsis and cassava using genomic dataA Bayesian Approach to Pathway Analysis by Integrating Gene-Gene Functional Directions and Microarray DataRobust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks.Bayesian network prior: network analysis of biological data using external knowledge.Inference and validation of predictive gene networks from biomedical literature and gene expression data.Identifying pathogenic processes by integrating microarray data with prior knowledgeReverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression DataSeeded Bayesian Networks: constructing genetic networks from microarray data.Differential dynamic properties of scleroderma fibroblasts in response to perturbation of environmental stimuliInference of gene pathways using mixture Bayesian networks.Integrative modeling of transcriptional regulation in response to antirheumatic therapyReconstructing nonlinear dynamic models of gene regulation using stochastic sampling.Learning gene regulatory networks from only positive and unlabeled data.Statistical inference of the time-varying structure of gene-regulation networks.Regulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells.A scale-free structure prior for graphical models with applications in functional genomics.Learning transcriptional regulation on a genome scale: a theoretical analysis based on gene expression data.Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling.Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data.Inference of complex biological networks: distinguishability issues and optimization-based solutions.Regulatory interactions for iron homeostasis in Aspergillus fumigatus inferred by a Systems Biology approachBayesian inference based modelling for gene transcriptional dynamics by integrating multiple source of knowledgeComparing the reconstruction of regulatory pathways with distinct Bayesian networks inference methodsA negative selection heuristic to predict new transcriptional targets.A Bayesian framework for inference of the genotype-phenotype map for segregating populationsBoosting probabilistic graphical model inference by incorporating prior knowledge from multiple sources.Network biology in medicine and beyond.Hybrid-controlled neurofuzzy networks analysis resulting in genetic regulatory networks reconstruction.Bioinformatics tools in predictive ecology: applications to fisheries.Inference of regulatory networks with a convergence improved MCMC sampler.Reconstruction of gene networks using prior knowledgeIntegrative random forest for gene regulatory network inferenceBayesian inference of signaling network topology in a cancer cell line.Identifying biologically relevant putative mechanisms in a given phenotype comparisonIntegrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biologyGene network inference via structural equation modeling in genetical genomics experiments.
P2860
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P2860
Reconstructing gene regulatory networks with bayesian networks by combining expression data with multiple sources of prior knowledge.
description
2007 nî lūn-bûn
@nan
2007 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Reconstructing gene regulatory ...... le sources of prior knowledge.
@ast
Reconstructing gene regulatory ...... le sources of prior knowledge.
@en
type
label
Reconstructing gene regulatory ...... le sources of prior knowledge.
@ast
Reconstructing gene regulatory ...... le sources of prior knowledge.
@en
prefLabel
Reconstructing gene regulatory ...... le sources of prior knowledge.
@ast
Reconstructing gene regulatory ...... le sources of prior knowledge.
@en
P356
P1476
Reconstructing gene regulatory ...... le sources of prior knowledge.
@en
P2093
Dirk Husmeier
P304
P356
10.2202/1544-6115.1282
P577
2007-05-29T00:00:00Z