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Hesam Montazeri
News
May 1
Our paper Reliable detection of subclonal
single-nucleotide variants in tumor cell populations appeared in Nature Communications today (see also ETH Life). In this work, we present the deepSNV algorithm and demonstrate its capability to detect subclonal mutations present in only 1/10,000 cells.
Gerstung et al. (2012) Nat Commun 3:811. DOI: 10.1038/ncomms1814.
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Current Research Projects
HIV drug resistance development
Research Interests
- Statistical Machine learning
Publications
Papers
- H. Montazeri, S. Moradi, and R. Safabakhsh, “Continuous state/action reinforcement learning: A growing self-organizing map approach,” Neurocomputing, vol. 74, no. 7, pp.1069-1082, 2011.
Curriculum Vitae
| 2011- | Since September, PhD student at the D-BSSE of ETH Zurich. |
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2009-2011 |
Master in Statistics, ETH Zurich |
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2004-2006 |
Master in Computer Science-With Distinction in Machine Learning, Amirkabir University of Technology, Tehran, Iran |
| 2000-2004 | Bachelor degree in Computer Science, Amirkabir University of Technology, Tehran, Iran |
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