https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding

What is the advantage of these assays over documenting the changes in cell shape anisotropy ratios and cell volume?

let's keep this question for the end since it is a fundamental question about the rationale of the research.

Does the quasi-potential representation assume that the system is memoryless/Markovian?

the Chapman-Kolmogorov Test (CK-test)

thank you

One point weikang didn’t mention is that his scRNA-seq analyses also reveal two paths, but he focuses on one since there are not enough cells for analyses.

is ther a distribution of TGF-b receptors among the cells that could contribute a delay in some cells making the transitions or lack of another component within the cell (cytokine) after initiation?

Tim has a great point. This is related to the origin of cell heterogeneity (so drug resistance) that we are working on

1) We are in the process of reconstructing the multi-dimensional vector field with more data

2) We observed similar vector field structure from another set of scRNA-seq data (two paths with two saddle nodes)

if you are grad student, please stick around for the grad student interaction session beginning in 10 minutes