Examples and Workflows

Major steps in a usual Nabo workflow are:
  • scRNA-Seq data quality control
  • Data normalization
  • Identification of highly variable genes
  • Dimensionality reduction of reference and target population into same PCA space using highly variable genes
  • Creation of SNN graph for reference population by calculating the Euclidean distance between each pair of cells.
  • Mapping target cells by calculating the distance between each target and reference cell using a modified Canberra metric.
  • Clustering and visualization of reference graph.
  • Identification of reference sub-populations with significant mapping.
  • Classification of target cells as per reference clusters.
  • Identification of marker genes for reference cluster and for highly mapped (by target cells) reference cells.