about
Clinical Research Informatics for Big Data and Precision Medicine.2016 Year-in-Review of Clinical and Consumer Informatics: Analysis and Visualization of Keywords and Topics.DATS, the data tag suite to enable discoverability of datasets.Discovering and linking public omics data sets using the Omics Discovery Index.Research Resource: A Reference Transcriptome for Constitutive Androstane Receptor and Pregnane X Receptor Xenobiotic SignalingEnvisioning the future of 'big data' biomedicine.Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop.Finding useful data across multiple biomedical data repositories using DataMed.The Quantified Brain: A Framework for Mobile Device-Based Assessment of Behavior and Neurological Function.Exploring completeness in clinical data research networks with DQe-c.Democratizing data science through data science trainingSystematically linking tranSMART, Galaxy and EGA for reusing human translational research data.Improving average ranking precision in user searches for biomedical research datasets.Assessing health risks from multiple environmental stressors: Moving from G×E to I×E.
P2860
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P2860
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
The NIH Big Data to Knowledge (BD2K) initiative.
@en
The NIH Big Data to Knowledge
@nl
type
label
The NIH Big Data to Knowledge (BD2K) initiative.
@en
The NIH Big Data to Knowledge
@nl
prefLabel
The NIH Big Data to Knowledge (BD2K) initiative.
@en
The NIH Big Data to Knowledge
@nl
P2093
P50
P356
P1476
The NIH Big Data to Knowledge (BD2K) initiative.
@en
P2093
Beth Russell
George Komatsoulis
Mark Guyer
Michelle Dunn
P356
10.1093/JAMIA/OCV136
P577
2015-11-01T00:00:00Z