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Fabian Schmich
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
Predicting Functional Redundancy in Protein Networks (in cooperation with Gunter Merdes)
Research Interests
- Integrative Network Biology
- Statistical Learning
Curriculum Vitae
| 2011 | Diplom (M.Sc) Bioinformatik, TU+LMU Munich, Germany |
| 2010-2011 |
Diploma Thesis Project, Insitute of Cancer Research, London, UK Computational Mass Spectrometry imaging: Characterising and predicting hypoxia in breast cancer |
| 2009 |
Research Assistant, University of Toronto, Canada Statistical analysis uncovering new structural variants that lead to higher colorectal cancer susceptibility |
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2006-2008 |
Research Assistant, TU Munich, Germany Software development for target quantification of environmental oligonucleotide micro array data |
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