Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends-Reference-Cited by-同舟云学术

Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends

Published:2016-04-26 Issue:1 Volume:9 Page:
ISSN:1756-0500
Container-title:BMC Research Notes
language:en
Short-container-title:BMC Res Notes

Author:

Jurca Gabriela,Addam Omar,Aksac Alper,Gao Shang,Özyer Tansel,Demetrick Douglas,Alhajj Reda

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/s13104-016-2023-5

Reference38 articles.

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3. Mishra Alok, Verma Mukesh. Cancer biomarkers: are we ready for the prime time? Cancers. 2010;2(1):190–208.

4. Genetics home reference. How do genes direct the production of proteins? 2014. http://ghr.nlm.nih.gov/handbook/howgeneswork/makingprotein . Accessed 22 Nov 2014.

5. National Cancer Institute. Genetic testing for hereditary cancer syndromes. 2013. http://www.cancer.gov/cancertopics/factsheet/Risk/genetic-testing . Accessed 21 Sept 2014.

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