e-LiSe -- e-Literature Searcher
What you can do:
An online tool for finding needles in the '(Medline) haystack'.
Highlights:
- Using literature databases one can find not only known and true relations between processes but also less studied, non-obvious associations.
- The main problem with discovering such type of relevant biological information is 'selection'.
- The ability to distinguish between a true correlation (e.g. between different types of biological processes) and random chance that this correlation is statistically significant is crucial for any bio-medical research, literature mining being no exception.
- This problem is especially visible when searching for information which has not been studied and described in many publications.
- Therefore, a novel bio-linguistic statistical method is required, capable of 'selecting' true correlations, even when they are low-frequency associations.
Keywords:
- Information Storage and Retrieval
- Natural Language Processing
- Data Mining
- Medline
- Literature Searching
Literature & Tutorials:
This record last updated: 09-12-2008