Table 1.
Number of genes with different percentages of missing values in the datasets
Datasets | Number of arrays | Number of genes | Number of genes with specific missing percentages (%) | ||||||
N | N' | L | L' | 0~5 | 5~10 | 10~15 | 15~20 | >20 | |
Histone | 24 | 24 | 6120 | 3913 | 1074 | 98 | 25 | 749 | 261 |
Gasch | 173 | 44 | 6153 | 2990 | 2597 | 317 | 139 | 55 | 54 |
Calcineurin | 24 | 24 | 6586 | 3367 | 0 | 1102 | 312 | 162 | 420 |
Sp.elu | 14 | 14 | 6178 | 5766 | 0 | 296 | 11 | 0 | 105 |
Sp.alpha | 18 | 18 | 6178 | 4489 | 0 | 1183 | 282 | 65 | 159 |
Diauxic | 7 | 7 | 6068 | 5875 | 0 | 0 | 0 | 191 | 2 |
N and L are the number of experimental conditions and genes in the original dataset respectively. N' and L' are the number of experimental conditions and genes in the dataset after removing the genes with missing values.