Fig. 4
From: JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing
Evaluation of JOINT’s clustering performance with real, large-scale scRNA-Seq datasets. a - d Cell-clustering and t-SNE visualization of the Barron dataset. Cell-clustering from raw data (a), Saver-imputed data (b), scImpute-imputed data (c), and JOINT (d) are shown. Imputation algorithm in JOINT is used to visualize cell-clustering results. Adjusted Rand Index scores are shown for all algorithms. e - h Cell-clustering and t-SNE visualization of the Zeisel dataset. Cell-clustering from the raw data (e), Saver-imputed data (f), scImpute-imputed data (g), and JOINT (h) are shown. Imputation algorithm in JOINT is used to visualize cell-clustering results. Adjusted Rand Index scores are shown for all algorithms