Linking the genes: inferring quantitative gene networks from microarray data.
about
Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profilesSystems analysis of high-throughput dataChemogenomic profiling on a genome-wide scale using reverse-engineered gene networksIdentification of transcription factor's targets using tissue-specific transcriptomic data in Arabidopsis thalianaSparsity as cellular objective to infer directed metabolic networks from steady-state metabolome data: a theoretical analysis.A unified framework for unraveling the functional interaction structure of a biomolecular network based on stimulus-response experimental data.Detection of perturbation phases and developmental stages in organisms from DNA microarray time series data.A quantization method based on threshold optimization for microarray short time series.A methodology for the structural and functional analysis of signaling and regulatory networks.A network analysis of the human T-cell activation gene network identifies JAGGED1 as a therapeutic target for autoimmune diseasesMetabolic network discovery through reverse engineering of metabolome data.Petri Nets with Fuzzy Logic (PNFL): reverse engineering and parametrization.From knockouts to networks: establishing direct cause-effect relationships through graph analysis.Revealing strengths and weaknesses of methods for gene network inference.Paradoxical results in perturbation-based signaling network reconstructionSimulating systems genetics data with SysGenSIMInference of complex biological networks: distinguishability issues and optimization-based solutions.Robust non-linear differential equation models of gene expression evolution across Drosophila development.Molecular basis of lithium action: integration of lithium-responsive signaling and gene expression networks.Untangling the wires: a strategy to trace functional interactions in signaling and gene networks.Finding pathway-modulating genes from a novel Ontology Fingerprint-derived gene networkFrom genetical genomics to systems genetics: potential applications in quantitative genomics and animal breeding.A reverse engineering approach to optimize experiments for the construction of biological regulatory networks.An Arabidopsis gene network based on the graphical Gaussian model.Application of Top-Down and Bottom-up Systems Approaches in Ruminant Physiology and Metabolism.Discriminating direct and indirect connectivities in biological networks.Quantifying gene network connectivity in silico: scalability and accuracy of a modular approachFunctional genomics in chickens: development of integrated-systems microarrays for transcriptional profiling and discovery of regulatory pathwaysA centennial celebration for quantitative genetics.Functional genomics of the chicken--a model organism.Comparison of reverse-engineering methods using an in silico network.Regulation by transcription factors in bacteria: beyond descriptionNetwork modelling of gene regulation.Analysis of apoptosis-associated genes and pathways in oral cancer cells.A technique for determining the signs of sensitivities of steady states in chemical reaction networks.Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation.Untangling the signalling wires.Integrating multi-scale knowledge on cardiac development into a computational model of ventricular trabeculation.Estimating the structure of small dynamical networks from the state time evolution of one node.The Landscape of Evolution: Reconciling Structural and Dynamic Properties of Metabolic Networks in Adaptive Diversifications.
P2860
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P2860
Linking the genes: inferring quantitative gene networks from microarray data.
description
2002 nî lūn-bûn
@nan
2002 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Linking the genes: inferring quantitative gene networks from microarray data.
@ast
Linking the genes: inferring quantitative gene networks from microarray data.
@en
type
label
Linking the genes: inferring quantitative gene networks from microarray data.
@ast
Linking the genes: inferring quantitative gene networks from microarray data.
@en
prefLabel
Linking the genes: inferring quantitative gene networks from microarray data.
@ast
Linking the genes: inferring quantitative gene networks from microarray data.
@en
P1433
P1476
Linking the genes: inferring quantitative gene networks from microarray data.
@en
P2093
Alberto de la Fuente
Paul Brazhnik
P304
P356
10.1016/S0168-9525(02)02692-6
P50
P577
2002-08-01T00:00:00Z