Inferring quantitative models of regulatory networks from expression data.
about
Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification.SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms.A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks.Extended kalman filter for estimation of parameters in nonlinear state-space models of biochemical networksPartially observed bipartite network analysis to identify predictive connections in transcriptional regulatory networksCausal inference of regulator-target pairs by gene mapping of expression phenotypes.Reverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression DataValidation of alternative methods of data normalization in gene co-expression studies.Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities.Nonlinear differential equation model for quantification of transcriptional regulation applied to microarray data of Saccharomyces cerevisiae.Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge.A visual data mining tool that facilitates reconstruction of transcription regulatory networks.Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks.Inferring cellular networks--a review.Differential dynamic properties of scleroderma fibroblasts in response to perturbation of environmental stimuliPredicting transcriptional regulatory interactions with artificial neural networks applied to E. coli multidrug resistance efflux pumps.Statistical modelling of transcript profiles of differentially regulated genes.BRNI: Modular analysis of transcriptional regulatory programs.From gene expression to gene regulatory networks in Arabidopsis thaliana.STARNET 2: a web-based tool for accelerating discovery of gene regulatory networks using microarray co-expression dataReconstructing nonlinear dynamic models of gene regulation using stochastic sampling.Reconstructing transcriptional regulatory networks through genomics data.Inferring Transcriptional Interactions by the Optimal Integration of ChIP-chip and Knock-out DataAn integrated machine learning approach for predicting DosR-regulated genes in Mycobacterium tuberculosis.Modeling genome-wide dynamic regulatory network in mouse lungs with influenza infection using high-dimensional ordinary differential equations.Continuous cotemporal probabilistic modeling of systems biology networks from sparse dataPetri Nets with Fuzzy Logic (PNFL): reverse engineering and parametrization.Regulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells.Motif-guided sparse decomposition of gene expression data for regulatory module identification.Causal network inference using biochemical kinetics.Extensive low-affinity transcriptional interactions in the yeast genomeMetabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cellsReconstructing repressor protein levels from expression of gene targets in Escherichia coliBayesian network analysis of signaling networks: a primer.Intracellular signaling: spatial and temporal control.From signatures to models: understanding cancer using microarrays.Reverse engineering sparse gene regulatory networks using cubature kalman filter and compressed sensing.Comparison of reverse-engineering methods using an in silico network.Compartmentalized gene regulatory network of the pathogenic fungus Fusarium graminearum.Topological augmentation to infer hidden processes in biological systems.
P2860
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P2860
Inferring quantitative models of regulatory networks from expression data.
description
2004 nî lūn-bûn
@nan
2004 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Inferring quantitative models of regulatory networks from expression data.
@ast
Inferring quantitative models of regulatory networks from expression data.
@en
type
label
Inferring quantitative models of regulatory networks from expression data.
@ast
Inferring quantitative models of regulatory networks from expression data.
@en
prefLabel
Inferring quantitative models of regulatory networks from expression data.
@ast
Inferring quantitative models of regulatory networks from expression data.
@en
P50
P356
P1433
P1476
Inferring quantitative models of regulatory networks from expression data.
@en
P304
P356
10.1093/BIOINFORMATICS/BTH941
P407
P478
20 Suppl 1
P577
2004-08-01T00:00:00Z