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 2. Validation of age-predictor model using induced pluripotent stem cells (iPSC) and fetal tissues methylation data. Left: Predictions of the multimodal transformer for iPSC induction dataset, days after transfection with reprogramming factors. Right: Predictions of the multimodal transformer for embryonic tissue dataset, weeks after last menstruation, averaged across tissues.