Extended Data Fig. 10: Estimated growth rates across trajectories and ∆t parameter values.
From: STORIES: learning cell fate landscapes from spatial transcriptomics using optimal transport
(A) In the axolotl regeneration case study, we report for different choices of the ∆t parameter the estimated growth rates for all cell populations taking part in the reaEGC-rIPC1-IMN-nptxEX trajectory. (B) In the axolotl regeneration case study, we report for different choices of the ∆t parameter the estimated growth rates for all cell populations taking part in the wntEGC-mpEX trajectory. (C) In the axolotl regeneration case study, we report for different choices of the ∆t parameter the estimated growth rates for all cell populations taking part in the reaEGC-rIPC2- dpEX trajectory. (D) In the mouse midbrain case study, we report for different choices of the ∆t parameter the estimated growth rates for all three studied cell populations.
