Hong Yu
ABSTRACT
Images (i.e., figures or tables) are important experimental results that are typically reported in bioscience full-text articles. Biologists need to access the images to validate research facts and to formulate or to test novel research hypotheses. We designed, evaluated, and implemented a novel user-interface, BioEx, that allows biologists to access images that appear in a full-text article directly from the abstract of the article.
- Corpet F (1988) Multiple sequence alignment with hierarchical clustering. Nucleic Acids Res 16:10881--10890 Hearst M (2003) The BioText project. A powerpoint presentation.Google Scholar
Cross Ref
- Herrero J, Valencia A, Dopazo J (2001) A hierarchical unsupervised growing neural network for clustering gene expression patterns. Bioinformatics 17:126--136.Google ScholarCross Ref
- Lee M, Wang W, Yu H (2006) Exploring supervised and unsupervised methods to detect topics in Biomedical text. BMC Bioinformatics 7:140.Google ScholarCross Ref
- Smalheiser NR, Swanson DR (1998) Using ARROWSMITH: a computer-assisted approach to formulating and assessing scientific hypotheses. Comput Methods Programs Biomed 57:149--153.Google ScholarCross Ref
- BioEx: a novel user-interface that accesses images from abstract sentences
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