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Paper Details

Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease.
Am J Physiol Heart Circ Physiol
13
2018
CVD, CVDs, arrhythmias, cardiomyopathies, cardiovascular disease, cardiovascular diseases, cerebrovascular accident, congenital heart disease, insulin-like growth factor, interleukin-13, interleukin-4, ischemic heart disease, valve disease
Big Data, Biomarkers, Cardiovascular Diseases, Data Mining, Databases, Factual, Extracellular Matrix, Extracellular Matrix Proteins, Humans, Machine Learning, Pattern Recognition, Automated, Principal Component Analysis, Protein Interaction Maps
Author NameAffiliation
David A LiemDavid Geffen School of Medicine, University of California los angeles
David A LiemDavid Geffen School of Medicine, University of California los angeles
Sanjana MuraliDavid Geffen School of Medicine, University of California los angeles
Sanjana MuraliDavid Geffen School of Medicine, University of California los angeles
Dibakar SigdelDavid Geffen School of Medicine, University of California los angeles
Dibakar SigdelDavid Geffen School of Medicine, University of California los angeles
Yu ShiUniversity of Illinois at Urbana-Champaign
Yu ShiUniversity of Illinois at Urbana-Champaign
Xuan WangUniversity of Illinois at Urbana-Champaign
Xuan WangUniversity of Illinois at Urbana-Champaign
Jiaming ShenUniversity of Illinois at Urbana-Champaign
Jiaming ShenUniversity of Illinois at Urbana-Champaign
Howard ChoiDavid Geffen School of Medicine, University of California los angeles
Howard ChoiDavid Geffen School of Medicine, University of California los angeles
John Harry CaufieldDavid Geffen School of Medicine, University of California los angeles
John Harry CaufieldDavid Geffen School of Medicine, University of California los angeles
Wei WangScalable Analytics Institute, University of California los angeles
Wei WangScalable Analytics Institute, University of California los angeles
Peipei PingDavid Geffen School of Medicine, University of California los angeles
Peipei PingScalable Analytics Institute, University of California los angeles
Peipei PingDavid Geffen School of Medicine, University of California los angeles
Peipei PingScalable Analytics Institute, University of California los angeles
Jiawei HanUniversity of Illinois at Urbana-Champaign
Jiawei HanUniversity of Illinois at Urbana-Champaign
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Datasets

ReactomeA manually curated, peer-reviewed database of biomolecular pathways.Link
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA manually curated, peer-reviewed database of biomolecular pathways.Link
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA manually curated, peer-reviewed database of biomolecular pathways.Link
ReactomeA manually curated, peer-reviewed database of biomolecular pathways.Link