From: A pseudo-value regression approach for differential network analysis of co-expression data
p | n | Precision | Recall | F1 | ||||||
---|---|---|---|---|---|---|---|---|---|---|
PRANA | dnapath | DINGO | PRANA | dnapath | DINGO | PRANA | dnapath | DINGO | ||
20 | 40 | 0.90 | 0.97 | 0.89 | 0.59 | 0.38 | 0.63 | 0.69 | 0.53 | 0.72 |
100 | 0.91 | 0.97 | 0.88 | 0.72 | 0.66 | 0.75 | 0.79 | 0.77 | 0.80 | |
200 | 0.91 | 0.96 | 0.89 | 0.83 | 0.83 | 0.73 | 0.86 | 0.88 | 0.79 | |
500 | 0.90 | 0.93 | – | 0.93 | 0.94 | – | 0.91 | 0.93 | – | |
1000 | 0.89 | 0.91 | – | 0.95 | 0.97 | – | 0.92 | 0.94 | – | |
50 | 40 | 0.98 | 1.00 | 0.99 | 0.56 | 0.28 | 0.67 | 0.71 | 0.43 | 0.80 |
100 | 0.98 | 1.00 | 0.98 | 0.65 | 0.45 | 0.71 | 0.78 | 0.61 | 0.82 | |
200 | 0.99 | 1.00 | 0.98 | 0.75 | 0.68 | 0.80 | 0.85 | 0.80 | 0.88 | |
500 | 0.99 | 0.99 | – | 0.87 | 0.91 | – | 0.93 | 0.95 | – | |
1000 | 0.99 | 0.99 | – | 0.94 | 0.97 | – | 0.96 | 0.98 | – | |
100 | 40 | 0.99 | 1.00 | 0.55 | 0.55 | 0.21 | 0.77 | 0.70 | 0.34 | 0.63 |
100 | 0.98 | 1.00 | 0.55 | 0.63 | 0.27 | 0.75 | 0.76 | 0.42 | 0.63 | |
200 | 0.99 | 1.00 | 0.55 | 0.68 | 0.46 | 0.77 | 0.80 | 0.62 | 0.63 | |
500 | 0.99 | 1.00 | – | 0.77 | 0.82 | – | 0.86 | 0.90 | – | |
1000 | 0.99 | 1.00 | – | 0.86 | 0.92 | –ara> | 0.92 | 0.96 | – |