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.

• MLL-ENL tutorial workflow
  • Preprocessing
  • Cell Mapping
  • Marker analysis
  • Control Mappings