Table 2.
Statistical comparison of performances of classifiers trained on normal and without-one-feature morbidity datasets
| Missing feature 1 | Median AUC [min,max]2 | N | W | Wc (two-tailed p = 0.05)3 | ||
|---|---|---|---|---|---|---|
| ppi | 0.715 [0.705,0.726] | 10 | 26 | 8 | ||
| metin | 0.714 [0.707,0.727] | 10 | 26 | 8 | ||
| metout | 0.713 [0.707,0.729] | 10 | 25 | 8 | ||
| regin | 0.714 [0.703,0.726] | 9 | 18 | 6 | ||
| regout | 0.716 [0.705,0.729] | 10 | 26 | 10 | ||
| c | 0.713 [0.701,0.724] | 10 | 13 | 8 | ||
| identicalness | 0.711 [0.704,0.727] | 10 | 24 | 8 | ||
| cent | 0.714 [0.707,0.727] | 10 | 25 | 8 | ||
| inbet | 0.716 [0.708,0.731] | 10 | 25 | 8 | ||
| inbetppi | 0.714 [0.707,0.727] | 9 | 21 | 6 | ||
| inbetmet | 0.714 [0.707,0.728] | 9 | 21 | 6 | ||
| inbetreg | 0.715 [0.706,0.727] | 10 | 25 | 8 | ||
| numtissuesexp4 | 0.709 [0.701,0.719] | 10 | 7 | 8* | ||
| avegexptec5 | 0.715 [0.704,0.727] | 10 | 27 | 8 | ||
| Unknown | 0.713 [0.701,0.725] | 10 | 18 | 8 | ||
| Cytoplasm | 0.715 [0.706,0.728] | 10 | 26 | 8 | ||
| Endoplasmic reticulum | 0.716 [0.705,0.727] | 10 | 26 | 8 | ||
| Mitochondrion | 0.714 [0.706,0.728] | 10 | 24 | 8 | ||
| Nucleus | 0.715 [0.704,0.728] | 10 | 24 | 8 | ||
| Other localization | 0.714 [0.704,0.726] | 10 | 21 | 8 | ||
| Cellular component | 0.714 [0.705,0.727] | 9 | 21 | 6 | ||
| Extracellular space | 0.710 [0.7,0.723] | 10 | 14 | 8 | ||
| Golgi apparatus | 0.715 [0.706,0.728] | 10 | 26 | 8 | ||
| Median AUC [min,max] for normal datasets: 0.716 [0.706,0.729] | ||||||
1 See “Methods” and Additional file 1 for a description of features
2 Of 10 datasets
3 According to table of critical values for W in [6]
4 The number of tissues (out of 32) in which the gene is expressed at least 5 transcripts per million (tpm) according to Reverter et al. [33]
5 The average expression in tpm among all the tissues in which the gene is expressed according to Reverter et al. [33]
* Difference statistically significant