Fig. 2
From: Barlow Twins deep neural network for advanced 1D drug–target interaction prediction
A comparison of the performance of methods established in the literature. a The state-of-the-art performance of BarlowDTI in terms of PR AUC was visualised in comparison to other models (for metrics and their statistics refer to Table 1). b The change in performance was examined as key elements of the BarlowDTI architecture were incrementally removed. Ablations are denoted as Abl. 1, 2 and 3. c The newly introduced model baseline, XGBoost, was compared with other established methods. A per dataset and split difference in PR AUC was calculated based on BarlowDTI in (b) performance or the baseline model in (c). The overall change was investigated for statistical significance (****\(p < 0.0001\), two-sided Welch’s t-test [52, 53], with Benjamini-Hochberg [54] multiple testing correction)