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Fig. 3 | Cell & Bioscience

Fig. 3

From: A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery

Fig. 3

Biological analysis of TURF optimal gene set. A Gene expression trajectory analysis of nine placental cell subpopulations using PAGA, color by cell lineages (up: all genes, down: TURF optimal gene set). B Velocities derived from the dynamical model for placenta subpopulations are visualized as streamlines in a UMAP-based embedding. C Expression patterns of marker genes in different subpopulations of placental cells in the TURF optimal gene set. D High expression marker genes screened by Scanpy. E Circles plot showing highly expressed ligand-receptor interactions in the TURF optimal gene set

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