Research Paper Volume 15, Issue 11 pp 4649—4666

Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery


Figure 3. Example of Target ID output for chronic obstructive pulmonary disease. Top-200 genes from expression classifiers were applied as a gene list in PandaOmics corresponding project for COPD, and a filter for small molecules was applied to identify druggable targets. Twenty genes highly ranked by PandaOmics are shown.