Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease

Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biological processes in an array of organ systems, including the cardiovascular system. Using a novel bioinformatics text-mining tool, we studied six categories of cardiovascular disease (CVD), namely, is...

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Veröffentlicht in:	American journal of physiology. Heart and circulatory physiology 2018-10, Vol.315 (4), p.H910-H924
Hauptverfasser:	Liem, David A, Murali, Sanjana, Sigdel, Dibakar, Shi, Yu, Wang, Xuan, Shen, Jiaming, Choi, Howard, Caufield, John H, Wang, Wei, Ping, Peipei, Han, JiaWei
Format:	Artikel
Sprache:	eng
Schlagworte:	Big Data Bioinformatics Biological activity Biomarkers - metabolism Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - metabolism Cardiovascular system Cluster analysis Clustering Coronary artery disease Data mining Data Mining - methods Data processing Databases, Factual Extracellular matrix Extracellular Matrix - metabolism Extracellular Matrix Proteins - metabolism Growth factors Heart diseases Humans Information processing Insulin Interleukin 13 Interleukin 4 Interleukins Ischemia Machine Learning Matrices (mathematics) Matrix protein Online analytical processing Pathogenesis Pattern Recognition, Automated - methods Principal Component Analysis Principal components analysis Protein Interaction Maps Proteins Rheumatic heart disease Stroke Viruses
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