41 citations · 57 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 16 cited
Bioformer: an efficient transformer language model for biomedical text mining
Li Fang, Qingyu Chen, Chih-Hsuan Wei +2
Pretrained language models such as Bidirectional Encoder Representations from Transformers (BERT) have achieved state-of-the-art performance in natural language processing (NLP) ta…
q-bio.GN2021★ 41 cited
Deciphering the Language of Nature: A transformer-based language model for deleterious mutations in proteins
Theodore Jiang, Li Fang, Kai Wang
Various machine-learning models, including deep neural network models, have already been developed to predict deleteriousness of missense (non-synonymous) mutations. Potential impr…