Name
Title | ||
|---|---|---|
Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery. |
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1093/bib/bbv087 | BRIEFINGS IN BIOINFORMATICS |
Keywords | Field | DocType |
text mining,data mining,biomedical discovery,gene prioritization,pharmacogenomics,toxicology | Data science,Data mining,Text mining,Precision medicine,Biology,Information extraction,Bioinformatics | Journal |
Volume | Issue | ISSN |
17 | SP1 | 1467-5463 |
Citations | PageRank | References |
17 | 0.81 | 59 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Graciela Gonzalez | 1 | 120 | 10.03 |
| Tasnia Tahsin | 2 | 30 | 3.28 |
| Britton C. Goodale | 3 | 17 | 0.81 |
| Anna C Greene | 4 | 20 | 1.99 |
| Casey S. Greene | 5 | 223 | 25.95 |