APL

APL computes Association Plots for visualization and analysis of single cell transcriptomics data to identify genes characteristic for individual cell clusters.

Key Features:

• Correspondence Analysis: The package performs correspondence analysis (CA) on single cell transcriptomics data.
• Association Plots: APL generates Association Plots to identify cluster-specific genes from input data.
• Cluster-Specificity Scoring: The package computes cluster-specificity scores for all genes to rank genes by their specificity for a selected cell cluster of interest.

Scientific Applications:

• Single Cell Transcriptomics Analysis: APL analyzes single cell transcriptomics data to identify genes characteristic for individual clusters of cells.
• Cluster-Specific Gene Identification: The package enables identification and ranking of genes specific to selected cell clusters of interest.

Methodology:

APL performs correspondence analysis (CA) and computes Association Plots to identify cluster-specific genes, along with cluster-specificity scores for ranking genes.