BCISeach: A Searching Platform of Breast Cancer Text Mining for Biomedical Literature

摘要

In this paper, we introduced a searching platform called BCISearch, a web-portal for the collection of molecular information linked to breast cancer using text mining technology including two types of information: static and dynamic information, involving with six categories entities and their relationships: protein, DNA, RNA, Cell-type, Cell-line, Virus. BCISearch could search 248997 Proteins, 71358 DNA, 7724 RNA, 58891 Cell-line, 871 Virus, 31698 Cell-type. The BCISearch Experimental approach is promising for develop biomedical text mining technology. The BCISearch would assist researcher to understand breast cancer etiology in genetic factors. The searching platform is available at http://210.28.186.168:8080/BCISearch.