Signal flow dynamics using machine learning approaches

A signal flow dynamics permitted by Boolean dynamic modeling is captured by a set of directed one-step state transitions during signal transduction. This project will involve use of machine-learning approaches for systematic analysis of the signal flow dynamics due TNF-alpha signal transduction leading to a cell-death response. A candidate must have a strong foundation in statistics and AI/ML and have an interest in an inter-disciplinary work.

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