Feature selection for preserving biological trajectories in single-cell data

Contains preprocessed single-cell data and metadata for feature selection. Preprocessed adata objects can be accessed using the read_h5ad function in Scanpy.

• The RPE iterative indirect immunofluorescence imaging dataset (adata_RPE.h5ad) from Ref. (https://doi.org/10.1016/j.cels.2021.10.007) was originally downloaded from the Zenodo repository (https://doi.org/10.5281/zenodo.4525425).
• The PDAC iterative indirect immunofluorescence imaging datasets (listed below) were originally downloaded from the Zenodo repository (https://doi.org/10.5281/zenodo.7860332).
  • adata_PDAC_BxPC3.h5ad
  • adata_PDAC_CFPAC.h5ad
  • adata_PDAC_HPAC.h5ad
  • adata_PDAC_MiaPaCa.h5ad
  • adata_PDAC_Pa01C.h5ad
  • adata_PDAC_Pa02C.h5ad
  • adata_PDAC_Pa16C.h5ad
  • adata_PDAC_PANC1.h5ad
  • adata_PDAC_UM53.h5ad
• The CD8+ T cell differentiation dataset (adata_CD8.h5ad) from Ref. (https://doi.org/10.1126/sciimmunol.aaz6894) was originally downloaded from the Gene Expression Omnibus under the accession code GSE131847 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131847).