Research Paper Volume 15, Issue 18 pp 9293—9309

Biomedical generative pre-trained based transformer language model for age-related disease target discovery


Figure 6. Study of 9 genes that were ranked within the first 200 genes for each of the age-related diseases and aging by the BioGPT-G model. (A) The list of 14 age-related diseases previously studied by Pun et al. (B) Upset plot of the intersection of protein lists for 14 diseases and aging retrieved with BioGPT-G. The intersection comprising 2 or more genes intersected with the “Aging” list are shown.