Matrix prior for data transfer between single cell data types in latent Dirichlet allocation
Fig 3
Qualitative improvements when using the matrix prior.
Increasing the weight of the matrix prior (bottom row) shows a qualitative improvement in the ability of the target dataset LDA to discriminate among cell types compared the uniform prior (top row). UMAP embeddings of the cell-topic matrices from SHARE-seq mouse skin scATAC-seq data using the peak vocabulary are trained with different values of cB (different columns). Scatter points representing cells are colored by their published cell type annotations.