Deciphering Cell-Type-Specific Transcriptional Regulation in Tomato Leaves Through Ensemble Machine Learning and Single-Cell Transcriptomics.

The CytoTRACE score showed a weak but highly significant negative correlation with latent time (Spearman ρ = −0.25, p = 1.9 × 10 −118 ), indicating that, although capturing distinct facets of the transcriptome, the two orthogonal approaches suggested on a common developmental trajectory from mesophyll precursors toward terminally differentiated guard cells ( Tables S1 and S2 ). 3.2.

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