Fig. 1From: StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigensThe overall workflow of our proposed approach StackTTCA, which includes five major steps: (i) datasets collection, (ii) baseline model construction, (iii) meta-classifier development, (iv) performance evaluation, and (v) web server deploymentBack to article page