Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT
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The evolution of genome-scale models of cancer metabolismThe RAVEN toolbox and its use for generating a genome-scale metabolic model for Penicillium chrysogenumUnderstanding the Causes and Implications of Endothelial Metabolic Variation in Cardiovascular Disease through Genome-Scale Metabolic ModelingTranscriptomics resources of human tissues andĀ organsPersonalized Cardiovascular Disease Prediction and Treatment-A Review of Existing Strategies and Novel Systems Medicine ToolsCancer Metabolism: A Modeling PerspectiveApplications of Genome-Scale Metabolic Models in Biotechnology and Systems MedicineMathematical models of cancer metabolismForward Individualized Medicine from Personal Genomes to InteractomesLongitudinal omics modeling and integration in clinical metabonomics research: challenges in childhood metabolic health researchSoftware applications for flux balance analysisMetabolomics and systems pharmacology: why and how to model the human metabolic network for drug discoveryUsing Genome-scale Models to Predict Biological CapabilitiesReconstruction of Tissue-Specific Metabolic Networks Using CORDAReconstruction and validation of a genome-scale metabolic model for the filamentous fungus Neurospora crassa using FARMControllability in cancer metabolic networks according to drug targets as driver nodesSystematic evaluation of methods for integration of transcriptomic data into constraint-based models of metabolismFast reconstruction of compact context-specific metabolic network modelsBiochemical characterization of human gluconokinase and the proposed metabolic impact of gluconic acid as determined by constraint based metabolic network analysisComparative genome-scale reconstruction of gapless metabolic networks for present and ancestral speciesComputational analysis of reciprocal association of metabolism and epigenetics in the budding yeast: a genome-scale metabolic model (GSMM) approachAssessment of FBA Based Gene Essentiality Analysis in Cancer with a Fast Context-Specific Network Reconstruction MethodThe space of enzyme regulation in HeLa cells can be inferred from its intracellular metabolomeIntegrated metabolic modelling reveals cell-type specific epigenetic control points of the macrophage metabolic networkTowards improved genome-scale metabolic network reconstructions: unification, transcript specificity and beyondA community-driven global reconstruction of human metabolism.Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions.Mechanistic systems modeling to guide drug discovery and developmentAnalyzing LC/MS metabolic profiling data in the context of existing metabolic networks.Context-specific metabolic network reconstruction of a naphthalene-degrading bacterial community guided by metaproteomic data.Investigation on metabolism of cisplatin resistant ovarian cancer using a genome scale metabolic model and microarray dataIntegrative analysis of human omics data using biomolecular networks.Analysing Algorithms and Data Sources for the Tissue-Specific Reconstruction of Liver Healthy and Cancer Cells.Identification of anticancer drugs for hepatocellular carcinoma through personalized genome-scale metabolic modeling.Detection of driver metabolites in the human liver metabolic network using structural controllability analysis.Exploring mechanisms of diet-colon cancer associations through candidate molecular interaction networksMIRA: mutual information-based reporter algorithm for metabolic networksFlux balance analysis predicts essential genes in clear cell renal cell carcinoma metabolism.Integration of clinical data with a genome-scale metabolic model of the human adipocyte.Chromosome 3p loss of heterozygosity is associated with a unique metabolic network in clear cell renal carcinoma.
P2860
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P2860
Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT
description
2012 nĆ® lÅ«n-bĆ»n
@nan
2012 Õ©ÕøÖÕ”ÕÆÕ”Õ¶Õ«Õ¶ Õ°ÖÕ”ÕæÕ”ÖÕ”ÕÆÕøÖÕ”Õ® Õ£Õ«ÕæÕ”ÕÆÕ”Õ¶ ÕµÖ
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2012 Õ©Õ¾Õ”ÕÆÕ”Õ¶Õ«Õ¶ Õ°ÖÕ”ÕæÕ”ÖÕ”ÕÆÕ¾Õ”Õ® Õ£Õ«ÕæÕ”ÕÆÕ”Õ¶ Õ°ÕøÕ¤Õ¾Õ”Õ®
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2012幓ć®č«ę
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2012幓č«ę
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2012幓č«ę
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2012幓č«ę
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2012幓č«ę
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2012幓č«ę
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2012幓č®ŗę
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name
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@ast
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@en
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@nl
type
label
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@ast
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@en
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@nl
prefLabel
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@ast
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@en
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@nl
P2860
P50
P3181
P1476
Reconstruction of genome-scale ...... and 16 cancer types using INIT
@en
P2093
Adil Mardinoglu
Rasmus Agren
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1002518
P407
P577
2012-01-01T00:00:00Z