A framework for developing epitope prediction tools
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Predicting protective bacterial antigens using random forest classifiers
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
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We define and study a novel text mining problem for biomedical literature digital library, referred to as the class-attribute mining. Given a collection of biomedical literature from a digital library addressing a set of objects (e.g., proteins) and ...