Transfer learning of multicellular organization via single-cell and spatial transcriptomics
Fig 3
Robustness of iSORT in reconstructing human DLPFC slice ID151674 with different ST references.
(a) iSORT’s results with different ST references. Case I: Reconstruction using one homologous slice (Sample ID151675). Case II: Reconstruction using one heterologous slice (Sample ID151671). Case III: Reconstruction using three homologous slices (Sample ID151673, ID151675, and ID151676). Case IV: Reconstruction using three heterologous slices (Sample ID 151675, ID151607, and ID151671). Case V: Reconstruction using three rotated homologous slices (Sample ID151673, ID151675, and ID151676). Case VI: Reconstruction using three rotated heterologous slices (Sample ID151675, ID151671, and ID151507). (b) Violin plots of X coordinates across different reconstruction scenarios, depicting the distributions of cells on the X-axis. Case II’: Reconstruction using one heterologous slice (Sample ID151570). (c) Violin plots of Y coordinates across different reconstruction scenarios, depicting the distributions of cells on the Y-axis. Case IV’: Reconstruction using three heterologous slices (Sample ID151675, ID151507, and ID151508). Case IV”: Reconstruction using three heterologous slices (Sample ID151675, ID151670, and ID151671) (d) The accuracy of iSORT across different cases. Reconstruction using a single heterogeneous slice will be slightly less effective compared to homogeneous slices, but if multiple heterogeneous slices are used, the reconstruction results are better than single slice in the sense of reconstruction accuracy.