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

Brief Bioinform. 2016 Jan;17(1):33-42. doi: 10.1093/bib/bbv087. Epub 2015 Sep 29.

Abstract

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.

Keywords: biomedical discovery; data mining; gene prioritization; pharmacogenomics; text mining; toxicology.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Computational Biology / trends
  • Data Interpretation, Statistical
  • Data Mining / trends*
  • Drug Repositioning / statistics & numerical data
  • Genomics / statistics & numerical data
  • Humans
  • Pharmacogenetics / statistics & numerical data
  • Precision Medicine / statistics & numerical data
  • Precision Medicine / trends
  • Signal Transduction
  • Toxicology / statistics & numerical data