Fig. 1: Predicting tissue-specific splicing with SpTransformer.
From: SpliceTransformer predicts tissue-specific splicing linked to human diseases
a The SpTransformer model takes an only sequence as input and predicts tissue-specific splicing in 15 human tissues. The model can be used to evaluate genetic variants and predict tissue-specific splicing alterations. b Performance of 6 algorithms in splice site prediction task. Top-k accuracy is calculated by choosing a threshold to make predicted positive sites and actual splice sites have the same number, then computing the fraction of correctly predicted splice sites. PR-AUC is the area under the precision-recall curve. c Tissue-usage prediction of SpTransformer in comparison with other models. d The distribution of SpTransformer prediction score for tissue usages of splice sites in the test dataset. Tissue usages were grouped into low (<0.5) and high (≥0.5) by their original usage ratio across all samples in the same tissue types. a Created with BioRender.com, was released under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license.
