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Table 2 Comparison of ZIFA to PPCA and FA on four biological data sets

From: ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis

Data set Method Subset size
   25 100 250 1000
Differentiating T cells [3] FA 86±6.6 % 84±4.6 % 82±4.9 % 84±8.8 %
  PPCA 88±6.3 % 87±4.1 % 89±4.5 % 100±0.3 %
11 populations [15] FA 97±3.7 % 96±2.5 % 96±2.1 % 95±2.7 %
  PPCA 98±3.2 % 97±2.0 % 97±1.5 % 99±0.6 %
Myoblasts [5] FA 97±3.3 % 97±2.4 % 96±2.7 % 95±2.7 %
  PPCA 97±3.2 % 96±2.3 % 96±2.1 % 99±1.7 %
Bone marrow [14] FA 98±3.0 % 97±2.0 % 97±1.7 % 97±1.7 %
  PPCA 98±3.1 % 97±1.8 % 97±1.4 % 97±1.3 %
  1. The column headings are the number of genes in the data set (selected at random). Percentages denote the proportion of genes for which ZIFA provided a better fit than FA/PPCA, averaged across 100 replicates