BioTextQuest: a web-based biomedical text mining suite for concept discovery
نویسندگان
چکیده
SUMMARY BioTextQuest combines automated discovery of significant terms in article clusters with structured knowledge annotation, via Named Entity Recognition services, offering interactive user-friendly visualization. A tag-cloud-based illustration of terms labeling each document cluster are semantically annotated according to the biological entity, and a list of document titles enable users to simultaneously compare terms and documents of each cluster, facilitating concept association and hypothesis generation. BioTextQuest allows customization of analysis parameters, e.g. clustering/stemming algorithms, exclusion of documents/significant terms, to better match the biological question addressed. AVAILABILITY http://biotextquest.biol.ucy.ac.cy CONTACT [email protected]; [email protected] SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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عنوان ژورنال:
- Bioinformatics
دوره 27 23 شماره
صفحات -
تاریخ انتشار 2011