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network-based, graph modelling, dimensionality reduction or machine learning approaches You can process and derive novel insights from integrative analysis of multi-omic datasets Desirable but not required
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these questions, we develop mathematical and computational approaches to estimate mutation probabilities and selection. Tumor mutations are caused by diverse mutational processes, which can be identified through
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are influenced by the influx of mutations and by selective pressures, as inferred from mutation data. To address these questions, we develop mathematical and computational approaches to estimate mutation
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