Fig. 4From: StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigenst-distributed stochastic neighbor embedding (t-SNE) distribution of positive and negative samples on the training dataset, where TTCAs and non-TTCAs are represented with red and blue dots, respectively. ADA-CTD (A), RF-CTD (B), ET-CTD (C), LGBM-CTD (D), XGB-CTD (E), StackTTCA (F)Back to article page