Fig. 3From: A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discoveryBiological analysis of TURF optimal gene set. AÂ Gene expression trajectory analysis of nine placental cell subpopulations using PAGA, color by cell lineages (up: all genes, down: TURF optimal gene set). BÂ Velocities derived from the dynamical model for placenta subpopulations are visualized as streamlines in a UMAP-based embedding. CÂ Expression patterns of marker genes in different subpopulations of placental cells in the TURF optimal gene set. DÂ High expression marker genes screened by Scanpy. EÂ Circles plot showing highly expressed ligand-receptor interactions in the TURF optimal gene setBack to article page