Figure 2 — Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery

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

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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.