Trex is a deep-learning framework for generating low-dimensional embeddings from TCR immune receptor sequences. Built with Keras and trained on either amino-acid physicochemical properties or raw sequence tokens, Trex provides a flexible convolutional neural network architecture tailored for TCR single-chain modeling.
Key Features
- Convolutional neural networks optimized for receptor sequence analysis
- Embeddings derived from amino-acid properties or direct sequence inputs