From: How can functional annotations be derived from profiles of phenotypic annotations?
Measure | AUC | Protein interactions | p-value |
---|---|---|---|
Resnik in CMPO | 0.56 | 24 | 0.0102 |
Schlicker in CMPO | 0.56 | 12 | 0.7512 |
Lin in CMPO | 0.55 | 11 | 0.8332 |
Cohen’s kappa | 0.54 | 27 | 0.0015 |
Pesquita in CMPO | 0.54 | 14 | 0.5494 |
Jiang in CMPO | 0.54 | 11 | 0.8332 |
TF-IDF | 0.53 | 25 | 0.0055 |
Euclidean | 0.53 | 16 | 0.3433 |
correlation | 0.52 | 22 | 0.0311 |
Hamming | 0.52 | 21 | 0.0513 |
cosine | 0.49 | 13 | 0.6545 |
Jaccard | 0.49 | 13 | 0.6545 |
Euclidean (logistic PCA) | 0.46 | 25 | 0.0055 |
correlation (logistic PCA) | 0.45 | 19 | 0.1242 |
Cosine (logistic PCA) | 0.45 | 14 | 0.5494 |