Observing and interpreting correlations in metabolomic networks.
about
A non-targeted approach unravels the volatile network in peach fruitBioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosisBiomarker metabolites capturing the metabolite variance present in a rice plant developmental periodMathematical Modeling and Dynamic Simulation of Metabolic Reaction Systems Using Metabolome Time Series DataOn how network architecture determines the dominant patterns of spontaneous neural activityOpen source libraries and frameworks for biological data visualisation: a guide for developers.Computational mass spectrometry for small moleculesIntegrative biological analysis for neuropsychopharmacologyCoordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiaeStability of metabolic correlations under changing environmental conditions in Escherichia coli--a systems approachThe investment in scent: time-resolved metabolic processes in developing volatile-producing Nigella sativa L. seedsSolving the differential biochemical Jacobian from metabolomics covariance dataMathematical modeling of plant metabolism-from reconstruction to predictionDifferential network analysis with multiply imputed lipidomic dataData-independent microbial metabolomics with ambient ionization mass spectrometry.Granger causality in integrated GC-MS and LC-MS metabolomics data reveals the interface of primary and secondary metabolism.Identification of alterations in the Jacobian of biochemical reaction networks from steady state covariance data at two conditions.Sparsity as cellular objective to infer directed metabolic networks from steady-state metabolome data: a theoretical analysis.Ab initio prediction of metabolic networks using Fourier transform mass spectrometry dataStatistical methods for the analysis of high-throughput metabolomics data.Lipid changes after leaf wounding in Arabidopsis thaliana: expanded lipidomic data form the basis for lipid co-occurrence analysis.Constructing Metabolic Association Networks Using High-dimensional Mass Spectrometry Data.Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data.Challenges of Inversely Estimating Jacobian from Metabolomics Data.Topology-based cancer classification and related pathway mining using microarray data.A Strategy for Functional Interpretation of Metabolomic Time Series Data in Context of Metabolic Network Information.Normalization method for metabolomics data using optimal selection of multiple internal standards.Advanced data-mining strategies for the analysis of direct-infusion ion trap mass spectrometry data from the association of perennial ryegrass with its endophytic fungus, Neotyphodium lolii.Integration of metabolomic and proteomic phenotypes: analysis of data covariance dissects starch and RFO metabolism from low and high temperature compensation response in Arabidopsis thaliana.Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-generation Sequencing Count Data.Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors.Consistency analysis of metabolic correlation networks.Unbiased characterization of genotype-dependent metabolic regulations by metabolomic approach in Arabidopsis thalianaAn integrative approach to characterize disease-specific pathways and their coordination: a case study in cancer.Constructing disease-specific gene networks using pair-wise relevance metric: application to colon cancer identifies interleukin 8, desmin and enolase 1 as the central elements.MeltDB: a software platform for the analysis and integration of metabolomics experiment data.Variable selection and dependency networks for genomewide data.Metabolic network discovery through reverse engineering of metabolome data.Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering.
P2860
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P2860
Observing and interpreting correlations in metabolomic networks.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh-hant
name
Observing and interpreting correlations in metabolomic networks.
@en
Observing and interpreting correlations in metabolomic networks.
@nl
type
label
Observing and interpreting correlations in metabolomic networks.
@en
Observing and interpreting correlations in metabolomic networks.
@nl
prefLabel
Observing and interpreting correlations in metabolomic networks.
@en
Observing and interpreting correlations in metabolomic networks.
@nl
P2093
P356
P1433
P1476
Observing and interpreting correlations in metabolomic networks.
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/BTG120
P407
P50
P577
2003-05-01T00:00:00Z