Breast cancer prediction using genome wide single nucleotide polymorphism data-Reference-Cited by-同舟云学术

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Breast cancer prediction using genome wide single nucleotide polymorphism data

Published:2013-10 Issue:S13 Volume:14 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Hajiloo Mohsen,Damavandi Babak,HooshSadat Metanat,Sangi Farzad,Mackey John R,Cass Carol E,Greiner Russell,Damaraju Sambasivarao

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

https://link.springer.com/content/pdf/10.1186/1471-2105-14-S13-S3.pdf

Reference48 articles.

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2. Buchanan JA, Scherer SW: Contemplating effects of genomic structural variation. Genet Med. 2008, 10: 639-647. 10.1097/GIM.0b013e318183f848.

3. Manolio TA: Genomewide association studies and assessment of the risk of disease. N Engl J Med. 2010, 363: 166-76. 10.1056/NEJMra0905980.

4. Mailman MD, Feolo M, Jin Y, Kimura M, Tryka K, Bagoutdinov R, Hao L, Kiang A, Paschall J, Phan L, Popova N, Pretel S, Ziyabari L, Lee M, Shao Y, Wang ZY, Sirotkin K, Ward M, Kholodov M, Zbicz K, Beck J, Kimelman M, Shevelev S, Preuss D, Yaschenko E, Graeff A, Ostell J, Sherry ST: The NCBI dbGaP database of genotypes and phenotypes. Nat Genet. 2007, 39 (10): 1181-1186.

5. Baldi P, Brunak S: Bioinformatics: The Machine Learning Approach. 2001, Cambridge, MA: The MIT Press, 2

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