| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Tong, Huige, et al. \"Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution.\" Aging 16 (2024): 14204\u201314237.", | |
| "citations": 32, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "gliasin", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.18632/aging.206184", | |
| "journal": "Aging", | |
| "last_author": "Andrew E. Teschendorff", | |
| "model_type": "elastic net regression", | |
| "n_features": 220, | |
| "notes": "Glia-Sin is a glia semi-intrinsic chronological-age clock: elastic-net regression was restricted to glia age-DMCTs but fitted to methylation values not adjusted for brain cell fractions. Coefficients were fitted in the 450K Jaffe cortex cohort; the regularization penalty was selected on the EPIC Pihlstrom cohort.", | |
| "platform": [ | |
| "Illumina 450K", | |
| "Illumina EPIC" | |
| ], | |
| "population": "adults", | |
| "predicts": [ | |
| "chronological age" | |
| ], | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "brain cortex" | |
| ], | |
| "training_target": [ | |
| "chronological age" | |
| ], | |
| "unit": [ | |
| "years" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2024 | |
| } |