Supplementary Figure 7: Evaluation of missing-data-imputation methods.
From: SAVER: gene expression recovery for single-cell RNA sequencing
Evaluation of SAVER against missing data imputation algorithms for the down-sampled data. The algorithms are: SAVER, k-nearest neighbors (KNN) imputation, singular value decomposition (SVD) imputation, and random forest (RF) imputation. (a) Gene-wise and cell-wise correlations for each method. Number of genes and cells can be found in Supplementary Table 3. Box plots show the median (center line), interquartile range (hinges), and 1.5 times the interquartile range (whiskers); outlier data beyond this range are not shown. (b) Comparison of gene-to-gene and cell-to-cell correlation matrices in terms of correlation matrix distance (CMD) from the reference.
