BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction

no code implementations • 14 Feb 2023 • Cai Yang, Addie Woicik, Hoifung Poon, Sheng Wang

Instead of obtaining features from language models, we propose BLIAM, a literature-based data synthesis approach to directly generate training data points that are interpretable and model-agnostic to downstream applications.

Data Augmentation Language Modelling