bioRxiv
Model predicts age more accurately in tissue datasets
Trained on 93 multi-tissue datasets, the computational model made smaller age-prediction errors than comparison models, including in tests on eight datasets excluded from…Trained on 93 multi-tissue datasets, the computational model made smaller age-prediction errors than comparison models, including in tests on eight datasets excluded from training.
Preprint: computational studyBiomarkers
Who was studiedMulti-tissue DNA methylation datasets
What changedEG-BINN made smaller age-prediction errors than matched linear and nonlinear comparison models
The catchAge-prediction accuracy is not a direct measure of biological aging