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The Shmulevich Laboratory focuses on computational and mathematical approaches for modeling biological systems and analyzing large-scale measurement data sets. The major areas of research are: modeling and inference of biomolecular networks, machine learning approaches for cancer classification and biomarker discovery, theoretical studies of complex systems, image processing and analysis, and research informatics.
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