Trajectory inference is a computational approach used to model the continuous progression of biological processes, such as cell differentiation or disease progression, from high-dimensional single-cell sequencing data. In the context of cancer, trajectory inference helps to understand how cancer cells evolve from normal cells, how they progress through different stages, and how they respond to treatments.
