Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer-Reference-Cited by-同舟云学术

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Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer

Published:2016 Issue: Volume: Page:116-127
ISSN:0302-9743
Container-title:Swarm, Evolutionary, and Memetic Computing
language:
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Author:

Saha Indrajit,Bhowmick Shib Sankar,Geraci Filippo,Pellegrini Marco,Bhattacharjee Debotosh,Maulik Ujjwal,Plewczynski Dariusz

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-48959-9_11

Reference28 articles.

1. Grada, A., Weinbrecht, K.: Next-generation sequencing: methodology and application. J. Invest. Dermatol. 133(8), e11 (2013)

2. Miller, T., Ghoshal, K., Ramaswamy, B., Roy, S., Datta, J., Shapiro, C., Jacob, S., Majumder, S.: MicroRNA-221/222 confers tamoxifen resistance in breast cancer by targeting p27Kip1. J. Biol. Chem. 283(44), 29897–29903 (2008)

3. Bartel, D.: MicroRNAs: target recognition and regulatory functions. Cell 136, 215–233 (2009)

4. Jacobsen, A., Silber, J., Harinath, G., Huse, J., Schultz, N., Sander, C.: Analysis of microRNA-target interactions across diverse cancer types. Nat. Struct. Mol. Biol. 20(11), 1325–1332 (2013)

5. Bang-Berthelsen, C., Pedersen, L., Fløyel, T., Hagedorn, P., Gylvin, T., Pociot, F.: Independent component and pathway-based analysis of miRNA-regulated gene expression in a model of type 1 diabetes. BMC Genomics 12(1), 97 (2011)

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