Applications of transformer-based language models in bioinformatics: a survey
159 Citations•2023•
Shuang Zhang, Rui Fan, Yuti Liu
Key developments of transformer-based language models are introduced by describing the detailed structure of transformers and the common challenges, including heterogeneity of training data, computational expense and model interpretability, and opportunities in the context of bioinformatics research are identified.
Abstract
Supplementary data are available at <i>Bioinformatics Advances</i> online.