2023-01-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/675042Vision： 1. To infer mechanistic causality from single-cell dynamics of signaling molecules. 2. To establish nonlinear system-analysis platform for long-term time series from single cells. 3. Comparative analysis of systems properties among biological pathways. 4. To develop scoring algorithm based on non-linear properties of biological systems for early detection of cancers. Expected Outcomes： 1. Establish a nonlinear system-analysis toolset for single-cell signaling dynamics. 2. Realize causality inference at the molecular and biochemical level in biological systems. 3. Comparative profiling of nonlinearity of different biological pathways. 4. Provide nonlinear-system based scoring for cancer behavior.