about
Crowdsourcing in biomedicine: challenges and opportunitiesA curated and standardized adverse drug event resource to accelerate drug safety researchValidating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortalityBiomarker-based drug safety assessment in the age of systems pharmacology: from foundational to regulatory scienceEngineering liverToward a complete dataset of drug-drug interaction information from publicly available sourcesThe emerging paradigm of network medicine in the study of human diseaseCoupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT ProlongationData-driven identification of structural alerts for mitigating the risk of drug-induced human liver injuriesThe coming age of data-driven medicine: translational bioinformatics' next frontierSystematic prediction of pharmacodynamic drug-drug interactions through protein-protein-interaction networkA network inference method for large-scale unsupervised identification of novel drug-drug interactionsTowards structural systems pharmacology to study complex diseases and personalized medicineExtraction of pharmacokinetic evidence of drug-drug interactions from the literatureIdentification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case RegisterTowards a Computable Data Corpus of Temporal Correlations between Drug Administration and Lab Value ChangesImproving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based ModelingPredicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction NetworksSimilarity-based modeling in large-scale prediction of drug-drug interactionsIdentifying plausible adverse drug reactions using knowledge extracted from the literatureLessons learned from developing a drug evidence base to support pharmacovigilanceThe SADI Personal Health Lens: A Web Browser-Based System for Identifying Personally Relevant Drug InteractionsPredicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network dataDose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric PopulationFuture translational applications from the contemporary genomics era: a scientific statement from the American Heart AssociationComputational Prediction of DrugTarget Interactions Using Chemical, Biological, and Network Features.Evaluation of research in biomedical ontologiesComputational drug repositioning: from data to therapeutics.Refining gold from existing dataData mining for identifying novel associations and temporal relationships with Charcot foot.Lean Big Data integration in systems biology and systems pharmacology.Concordance and predictive value of two adverse drug event data sets.Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction.Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection.An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval.Drug-induced adverse events prediction with the LINCS L1000 dataPrevention of antipsychotic-induced hyperglycaemia by vitamin D: a data mining prediction followed by experimental exploration of the molecular mechanism.Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data.Big Data Mining and Adverse Event Pattern Analysis in Clinical Drug TrialsData-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems.
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մարտին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Data-driven prediction of drug effects and interactions
@ast
Data-driven prediction of drug effects and interactions
@en
Data-driven prediction of drug effects and interactions
@nl
type
label
Data-driven prediction of drug effects and interactions
@ast
Data-driven prediction of drug effects and interactions
@en
Data-driven prediction of drug effects and interactions
@nl
prefLabel
Data-driven prediction of drug effects and interactions
@ast
Data-driven prediction of drug effects and interactions
@en
Data-driven prediction of drug effects and interactions
@nl
P2860
P50
P3181
P1476
Data-driven prediction of drug effects and interactions
@en
P2093
Patrick P Ye
Roxana Daneshjou
P2860
P304
P3181
P356
10.1126/SCITRANSLMED.3003377
P407
P577
2012-03-14T00:00:00Z