Similarity-based transfer learning with deep learning networks for accurate CRISPR-Cas9 off-target prediction
Table 3
Average Estimated Similarities (1 - Normalized Average Distances) between the three source datasets (CD33, CIRCLE, and SITE) and the seven bootstrapped target datasets (CD33_BS, CIRCLE_BS, SITE_BS, Tasi_GUIDE_BS, Listgarten_GUIDE_BS, Kleinstiver_GUIDE_BS, and Hmg_BS) calculated using cosine, Euclidean, and Manhattan distances.
Similarity values corresponding to the most suitable source-target dataset pairs are highlighted in bold.