Matrix prior for data transfer between single cell data types in latent Dirichlet allocation
Fig 2
Correlation of the target set with the matrix prior versus the joint model.
The Pearson correlation between LDA results on the target dataset for the matrix prior LDA and the full dataset uniform symmetric LDA (the “joint model”) increases as cB increases. Pearson r values are plotted as a function of cB for the cell-topic (top row) and topic-gene (bottom row) matrices for LDA experiments on four different datasets: C.elegans scATAC-seq data (first column), SHARE-seq mouse skin scATAC-seq data with the peak vocabulary translated to genes (second column), SHARE-seq mouse skin scRNA-seq data (third column), and SHARE-seq mouse skin scATAC-seq data using the peak vocabulary (fourth column). The dotted horizontal lines indicate the correlation between the uniform prior LDA and the joint model.