Inference of gene regulatory networks and compound mode of action from time course gene expression profiles.
about
Gene regulatory network modeling via global optimization of high-order dynamic Bayesian networkIntegrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithmsDREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression dataIntegrating external biological knowledge in the construction of regulatory networks from time-series expression data.Inference of dynamical gene-regulatory networks based on time-resolved multi-stimuli multi-experiment data applying NetGenerator V2.0.A dynamic time order network for time-series gene expression data analysis.Inference of sigma factor controlled networks by using numerical modeling applied to microarray time series data of the germinating prokaryote.Gene regulatory network modeling using literature curated and high throughput data.Experimental assessment of static and dynamic algorithms for gene regulation inference from time series expression data.Computational prediction of molecular pathogen-host interactions based on dual transcriptome data.Inferring Broad Regulatory Biology from Time Course Data: Have We Reached an Upper Bound under Constraints Typical of In Vivo Studies?A simple approach to ranking differentially expressed gene expression time courses through Gaussian process regressionReconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities.Multilevel functional genomics data integration as a tool for understanding physiology: a network biology perspective.Transcriptional signatures of regulatory and toxic responses to benzo-[a]-pyrene exposureIntegration of omics data: how well does it work for bacteria?Data- and knowledge-based modeling of gene regulatory networks: an update.A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression data.DTNI: a novel toxicogenomics data analysis tool for identifying the molecular mechanisms underlying the adverse effects of toxic compounds.Inferring the gene network underlying the branching of tomato inflorescence.Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data.Least-squares methods for identifying biochemical regulatory networks from noisy measurements.Regulatory network reconstruction using an integral additive model with flexible kernel functions.Inferring the role of transcription factors in regulatory networksModels and computational strategies linking physiological response to molecular networks from large-scale data.Model selection in the reconstruction of regulatory networks from time-series dataIncorporating existing network information into gene network inference.IRIS: a method for reverse engineering of regulatory relations in gene networksReconstructing transcriptional regulatory networks through genomics data.Reverse engineering gene regulatory network from microarray data using linear time-variant model.Inferring genetic interactions via a nonlinear model and an optimization algorithm.Inference of gene regulatory networks using time-series data: a surveyIntegrated cellular network of transcription regulations and protein-protein interactionsTimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach.Modeling genome-wide dynamic regulatory network in mouse lungs with influenza infection using high-dimensional ordinary differential equations.Construction and verification of the transcriptional regulatory response network of Streptococcus mutans upon treatment with the biofilm inhibitor carolactonDREAM4: Combining genetic and dynamic information to identify biological networks and dynamical modelsA novel parametric approach to mine gene regulatory relationship from microarray datasets.The complexity of gene expression dynamics revealed by permutation entropy.Inference of cancer-specific gene regulatory networks using soft computing rules.
P2860
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P2860
Inference of gene regulatory networks and compound mode of action from time course gene expression profiles.
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունվարին հրատարակված գիտական հոդված
@hy
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
name
Inference of gene regulatory n ...... urse gene expression profiles.
@ast
Inference of gene regulatory n ...... urse gene expression profiles.
@en
Inference of gene regulatory n ...... urse gene expression profiles.
@nl
type
label
Inference of gene regulatory n ...... urse gene expression profiles.
@ast
Inference of gene regulatory n ...... urse gene expression profiles.
@en
Inference of gene regulatory n ...... urse gene expression profiles.
@nl
prefLabel
Inference of gene regulatory n ...... urse gene expression profiles.
@ast
Inference of gene regulatory n ...... urse gene expression profiles.
@en
Inference of gene regulatory n ...... urse gene expression profiles.
@nl
P2860
P356
P1433
P1476
Inference of gene regulatory n ...... urse gene expression profiles.
@en
P2093
Giusy Della Gatta
Mukesh Bansal
P2860
P304
P356
10.1093/BIOINFORMATICS/BTL003
P407
P577
2006-01-17T00:00:00Z