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Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource

Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource

http://www.wikidata.org/entity/Q30386777

about

Big data in sleep medicine: prospects and pitfalls in phenotyping Characterizing sleep spindles in 11,630 individuals from the National Sleep Research Resource.Common and rare exonic MUC5B variants associated with type 2 diabetes in Han Chinese.Envisioning the future of 'big data' biomedicine.Prevalence and Characteristics of Central Compared to Obstructive Sleep Apnea: Analyses from the Sleep Heart Health Study Cohort.Actigraphy-Derived Daily Rest-Activity Patterns and Body Mass Index in Community-Dwelling Adults.Large-Scale Automated Sleep Staging.Correlates of sleep quality in midlife and beyond: a machine learning analysis.Genome-wide analysis identifies an african-specific variant in SEMA4D associated with body mass index.Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks.ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies.The association of neck circumference with incident congestive heart failure and coronary heart disease mortality in a community-based population with or without sleep-disordered breathing.SpindleSphere: A Web-based Platform for Large-scale Sleep Spindle Analysis and Visualization.Joint effects of OSA and self-reported sleepiness on incident CHD and stroke Validation of the Sleep Regularity Index in Older Adults and Associations with Cardiometabolic Risk Evaluation of an automated pipeline for large-scale EEG spectral analysis: the National Sleep Research Resource

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P2860

Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource

http://www.wikidata.org/entity/Q30386777

description

2016 nî lūn-bûn

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2016 թուականի Մարտին հրատարակուած գիտական յօդուած

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2016 թվականի մարտին հրատարակված գիտական հոդված

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource

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Ary L Goldberger

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Catherine P Jayapandian

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Daniel Mobley

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Dennis A Dean

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Guo-Qiang Zhang

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Matthew Kim

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Michael G Morrical

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Remo Mueller

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Satya S Sahoo

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P2860

Mosaic organization of DNA nucleotides

Preparing for Responsible Sharing of Clinical Trial Data

Cardiovascular epidemiology in a changing world--challenges to investigators and the National Heart, Lung, and Blood Institute

The NCBI dbGaP database of genotypes and phenotypes

Strategic opportunities in sleep and circadian research: report of the Joint Task Force of the Sleep Research Society and American Academy of Sleep Medicine

Multiscale entropy analysis of biological signals

PhysioBank, PhysioToolkit, and PhysioNet : Components of a New Research Resource for Complex Physiologic Signals

A simple format for exchange of digitized polygraphic recordings

European data format 'plus' (EDF+), an EDF alike standard format for the exchange of physiological data

Challenges of Big Data Analysis

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