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approaches for network modeling and regulatory module detection. These and other methods are developed in tight collaboration with experimental biologists, biomedical scientists, and clinicians and are
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proposal topic with existing CCA staff and research programs, and potential to cross boundaries between CCA groups and/or the Flatiron Institute's centers. Any queries about the application process or about
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-performance computing, machine learning models (eg. LLM), probabilistic models for data, novel techniques for making measurements, visualization tools, and community-oriented foundational software tools. Please
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