Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery

Precision medicine will revolutionize the way we treat and prevent disease. A major barrier to the implementation of precision medicine that clinicians and translational scientists face is understanding the underlying mechanisms of disease. We are starting to address this challenge through automatic...

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Vydáno v:Briefings in bioinformatics Ročník 17; číslo 1; s. 33 - 42
Hlavní autoři: Gonzalez, Graciela H., Tahsin, Tasnia, Goodale, Britton C., Greene, Anna C., Greene, Casey S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Oxford Publishing Limited (England) 01.01.2016
Oxford University Press
Témata:
Bioinformatics
Computational Biology - trends
Current Progress in Bioinformatics 2016 Papers
data analysis
Data Interpretation, Statistical
Data mining
Data Mining - trends
Disease prevention
Drug Repositioning - statistics & numerical data
Genomics
Genomics - statistics & numerical data
Humans
Medical treatment
Pharmacogenetics - statistics & numerical data
pharmacogenomics
precision medicine
Precision Medicine - statistics & numerical data
Precision Medicine - trends
Signal Transduction
Toxicology - statistics & numerical data
toxicology
gene prioritization
text mining
pharmacogenomics
biomedical discovery
data mining
ISSN:1467-5463, 1477-4054, 1477-4054
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Shrnutí:Precision medicine will revolutionize the way we treat and prevent disease. A major barrier to the implementation of precision medicine that clinicians and translational scientists face is understanding the underlying mechanisms of disease. We are starting to address this challenge through automatic approaches for information extraction, representation and analysis. Recent advances in text and data mining have been applied to a broad spectrum of key biomedical questions in genomics, pharmacogenomics and other fields. We present an overview of the fundamental methods for text and data mining, as well as recent advances and emerging applications toward precision medicine.
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ISSN:1467-5463
1477-4054
1477-4054
DOI:10.1093/bib/bbv087