Task-adapted biological foundation models uncover perturbation-centric representations
Fine-tuned scGPT, a transformer pre-trained on over 30 million single-cell transcriptomes, was fine-tuned on more than three million LINCS L1000 perturbation profiles using a supervised objective that predicts perturbation identity and spontaneously captured orthogonal biological relationships never provided during tra...