Extended Data Fig. 1: Evaluation of totalVI model.
From: Joint probabilistic modeling of single-cell multi-omic data with totalVI
a, Posterior predictive check of coefficient of variation (CV) of genes and proteins. For each of the PBMC10k, MALT, and SLN111-D1 datasets and for each model (totalVI, scVI, factor analysis with normalized input, scHPF) the average coefficient of variation from posterior predictive samples was computed for each feature. Violin plots summarize the distribution of CVs for genes and proteins. Mean absolute error (MAE) between raw data CVs and average posterior predictive CV are reported. b, For each gene and protein, the Mann-Whitney U statistic between posterior predictive samples and observed data averaged over samples. Shown are boxplots of this statistic for each set of features (genes and proteins), model, and dataset (n=4000 genes across datasets and n=14 proteins for PBMC10k and MALT, n=110 proteins for SLN111-D1). Box plots indicate the median (center line), interquartile range (hinges), and whiskers at 1.5x interquartile range. Higher is better.
