Predicting network activity from high throughput metabolomics.
about
Clinical Metabolomics: The New Metabolic Window for Inborn Errors of Metabolism Investigations in the Post-Genomic EraBlood transcriptomics and metabolomics for personalized medicineLocal false discovery rate estimation using feature reliability in LC/MS metabolomics dataMetabolomics and diabetes: analytical and computational approachesBioinformatics: the next frontier of metabolomicsSequencing the exposome: A call to action.Prediction of intracellular metabolic states from extracellular metabolomic dataMetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data.Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases.xMSannotator: An R Package for Network-Based Annotation of High-Resolution Metabolomics Data.Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.Network Marker Selection for Untargeted LC-MS Metabolomics Data.Plasma metabolomics reveals a diagnostic metabolic fingerprint for mitochondrial aconitase (ACO2) deficiencyThe effects of graded levels of calorie restriction: IX. Global metabolomic screen reveals modulation of carnitines, sphingolipids and bile acids in the liver of C57BL/6 mice.Mechanisms Affecting the Gut of Preterm Infants in Enteral Feeding Trials.A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patientsLongitudinal development of the gut microbiome and metabolome in preterm neonates with late onset sepsis and healthy controls.Effects of age, sex, and genotype on high-sensitivity metabolomic profiles in the fruit fly, Drosophila melanogaster.Autophagy is essential for effector CD8(+) T cell survival and memory formation.Comparative transcriptomics and metabolomics in a rhesus macaque drug administration study.Invariance and plasticity in the Drosophila melanogaster metabolomic network in response to temperatureMetabolic Consequences of Chronic Alcohol Abuse in Non-Smokers: A Pilot StudyThe effects of age and dietary restriction on the tissue-specific metabolome of Drosophila.Nonparametric dynamic modeling.Fecal metabolomics in pediatric spondyloarthritis implicate decreased metabolic diversity and altered tryptophan metabolism as pathogenic factors.Temporal bacterial and metabolic development of the preterm gut reveals specific signatures in health and diseaseComputational Strategies for Biological Interpretation of Metabolomics Data.Stepwise inference of likely dynamic flux distributions from metabolic time series data.Reference Standardization for Mass Spectrometry and High-resolution Metabolomics Applications to Exposome Research.Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information.High-Resolution Metabolomics: Review of the Field and Implications for Nursing Science and the Study of Preterm BirthMetabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data.A longitudinal analysis of the effects of age on the blood plasma metabolome in the common marmoset, Callithrix jacchus.Plasma Metabolomics of Common Marmosets (Callithrix jacchus) to Evaluate Diet and Feeding HusbandryTargeting the untargeted in molecular phenomics with structurally-selective ion mobility-mass spectrometrySerum metabolomic signatures discriminate early liver inflammation and fibrosis stages in patients with chronic hepatitis B.High-resolution metabolomics of occupational exposure to trichloroethyleneLoss of Merlin induces metabolomic adaptation that engages dependence on Hedgehog signaling.Amino Acid Metabolism is Altered in Adolescents with Nonalcoholic Fatty Liver Disease-An Untargeted, High Resolution Metabolomics Study.Computational Metabolomics: A Framework for the Million Metabolome.
P2860
Q26742050-4E168DB7-1EBC-4ACE-9469-94FE1F6840F8Q26772073-CA1C41E2-67D8-4E79-AFFE-44BB78FEA823Q27305003-83E8EEDA-979A-447C-804C-F26B2BB86A8DQ28084835-BBEC82E2-1DD8-4B7E-A5B2-D6CEF82B65F6Q28652509-35578E77-B2D1-46FB-9B0D-629D89B2BB15Q30692583-5AD2F1DE-C296-4CBE-B86C-9BEE0089A6FBQ30951388-8242131B-B454-4CA8-B7EE-80C1A48A62CAQ30977629-695C9934-E81B-4F24-923C-81CB9331974EQ31049198-837E2A8A-A96A-4E92-A232-380670DB9A6AQ31149074-BAE2179A-C76C-449C-A6ED-236E64BBC9CBQ31157876-DDA40743-1DE4-44CF-8924-8B139524C95AQ31160080-DBA06BF1-A9D9-4B42-8ECF-3E641103E0CBQ33626540-28185B8B-C2CB-419C-92CB-AF048E26970CQ33638897-0122C19F-7D63-4C02-9084-331486D932D2Q33645689-E1D50B2F-B235-4F45-A6CD-0CFB1588A1ADQ33702017-4C8B8FD6-6482-4C58-8026-4819E371EFDCQ33901540-4A3BCDBC-9714-48BB-926E-18850E0F33DEQ33976674-732B30D8-2092-476B-8FEA-2A576FFBC6FFQ34516905-E792A7EF-4764-4113-A7B4-45C6CBAC8121Q34521873-B7C3BCB4-E298-4B82-BB3C-3C8611AE32DFQ34996434-A3718932-B877-4368-B8C0-CD3A0DC8BBC1Q35671702-F5F57F8C-1FDD-41A5-8F33-46E96F848975Q36057638-754F4442-BAE0-4E70-9D23-5DC2730917E8Q36122246-632B9DB7-01D5-4E2D-8844-E05E77833C56Q36175670-E6F1B0ED-0953-4FC0-922F-09E2FADB5FE5Q36235952-D1DECDD9-D675-445A-A23A-AEF51AA27C80Q36263326-7C26BEB4-D8C4-47A0-BAB0-7F50912EF795Q36320320-4C9772B2-6340-4F81-A259-0E4810CCDB18Q36363433-6A470CEA-F826-4A03-858B-45F09B502358Q36365862-8EA7F240-6553-49A9-902D-0649E4E28543Q36387102-4BDE55AD-B937-4DD5-AB85-F72FCEEF7641Q36396861-73350229-F69D-4809-ABBA-3A72A5A44ACDQ36642744-4A44C093-8240-4ADD-9AD8-C22E3EF5E436Q36666258-6F262898-58C4-484B-A545-FC363B010084Q36984097-92CE6E69-CD68-4840-B920-D68712BB06B6Q37157397-090CD83D-F994-462A-9105-022ADDF7C1C0Q37401192-C7743357-F819-4671-8838-0D8BC262ACEFQ37599488-8AB4E83A-6276-4415-A258-02C20199829BQ37659179-D34D8817-A10D-4D6C-89DB-D025799E6C08Q37733172-9FD7E1CC-4C28-4CAA-841D-9CF21CB1E525
P2860
Predicting network activity from high throughput metabolomics.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Predicting network activity from high throughput metabolomics.
@ast
Predicting network activity from high throughput metabolomics.
@en
Predicting network activity from high throughput metabolomics.
@nl
type
label
Predicting network activity from high throughput metabolomics.
@ast
Predicting network activity from high throughput metabolomics.
@en
Predicting network activity from high throughput metabolomics.
@nl
prefLabel
Predicting network activity from high throughput metabolomics.
@ast
Predicting network activity from high throughput metabolomics.
@en
Predicting network activity from high throughput metabolomics.
@nl
P2093
P2860
P1476
Predicting network activity from high throughput metabolomics.
@en
P2093
Bali Pulendran
Dean P Jones
Frederick H Strobel
Nooruddin Khan
Quinlyn A Soltow
Sai Duraisingham
Shuzhao Li
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003123
P50
P577
2013-07-04T00:00:00Z