Discovering breast cancer drug candidates from biomedical literature

International Journal of Data Mining and Bioinformatics

Volumn 4, Issue 3, 2010, Pages 241-255

  Li, Jiao ^a   Zhu, Xiaoyan ^a   Chen, Jake Yue ^b  

^a TSINGHUA UNIVERSITY   (China)

^b INDIANA UNIVERSITY   (United States)

Author keywords

Biomedical text mining; Breast cancer; Drug identification; Structured data mining

Indexed keywords

ANTINEOPLASTIC AGENT; DOXORUBICIN; ETOPOSIDE; PACLITAXEL;

BREAST NEOPLASMS; DATA MINING; DRUG DEVELOPMENT; FEMALE; HUMAN; INTERNET; MEDLINE; PROCEDURES; PUBLICATION;

ANTINEOPLASTIC AGENTS; BREAST NEOPLASMS; DATA MINING; DOXORUBICIN; DRUG DISCOVERY; ETOPOSIDE; FEMALE; HUMANS; INTERNET; MEDLINE; PACLITAXEL; PUBLICATIONS;

EID: 77953164307     PISSN: 17485673     EISSN: 17485681     Source Type: Journal    
DOI: 10.1504/IJDMB.2010.033519     Document Type: Article

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