Biological text mining for extraction of proteins and their interactions

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초록

Text mining techniques have been proposed for extracting protein names and their interactions. First, we have made improvements on existing methods for handling single word protein names consisting of characters, special symbols, and numbers. Second, compound word protein names are extracted using conditional probabilities of the occurrences of neighboring words. Third, interactions are extracted based on Bayes theorem over discriminating verbs that represent the interactions of proteins. Experimental results demonstrate the feasibility of our approach with improved performance.

제목
Biological text mining for extraction of proteins and their interactions
저자
Hong, KPark, JYang, JPark, S
발행일
2005
유형
Article; Proceedings Paper
저널명
Lecture Notes in Computer Science
3776
페이지
645 ~ 648