Sync encen40
Browse files- README.md +38 -0
- config.json +37 -0
- encen40.pt +3 -0
README.md
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: bsd-3-clause
|
| 3 |
+
library_name: pyaging
|
| 4 |
+
tags:
|
| 5 |
+
- pyaging
|
| 6 |
+
- aging-clock
|
| 7 |
+
- biology
|
| 8 |
+
- dna-methylation
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# encen40
|
| 12 |
+
|
| 13 |
+
Elastic-net DNAm-age clock trained in 7,039 people aged 40–115, including centenarians, to reduce extreme-old-age underestimation.
|
| 14 |
+
|
| 15 |
+
| | |
|
| 16 |
+
|---|---|
|
| 17 |
+
| **Predicts** | chronological age |
|
| 18 |
+
| **Species** | Homo sapiens |
|
| 19 |
+
| **Tissue** | whole blood, saliva, buccal epithelium |
|
| 20 |
+
| **Data type** | DNA methylation |
|
| 21 |
+
| **Model type** | elastic net regression |
|
| 22 |
+
| **Year** | 2023 |
|
| 23 |
+
|
| 24 |
+
## Use with pyaging
|
| 25 |
+
|
| 26 |
+
```python
|
| 27 |
+
import pyaging as pya
|
| 28 |
+
|
| 29 |
+
pya.pred.predict_age(adata, ["encen40"])
|
| 30 |
+
```
|
| 31 |
+
|
| 32 |
+
Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).
|
| 33 |
+
|
| 34 |
+
## Citation
|
| 35 |
+
|
| 36 |
+
Dec, Eric, et al. "Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity." GeroScience 45 (2023): 1817–1835.
|
| 37 |
+
|
| 38 |
+
https://doi.org/10.1007/s11357-023-00731-7
|
config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"approved_by_author": "\u231b",
|
| 3 |
+
"citation": "Dec, Eric, et al. \"Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity.\" GeroScience 45 (2023): 1817\u20131835.",
|
| 4 |
+
"citations": 45,
|
| 5 |
+
"citations_date": "2026-07-05",
|
| 6 |
+
"clock_name": "encen40",
|
| 7 |
+
"data_type": "DNA methylation",
|
| 8 |
+
"doi": "https://doi.org/10.1007/s11357-023-00731-7",
|
| 9 |
+
"journal": "GeroScience",
|
| 10 |
+
"last_author": "Steve Horvath",
|
| 11 |
+
"model_type": "elastic net regression",
|
| 12 |
+
"n_features": 559,
|
| 13 |
+
"notes": "Elastic-net DNAm-age clock trained in 7,039 people aged 40\u2013115, including centenarians, to reduce extreme-old-age underestimation.",
|
| 14 |
+
"platform": [
|
| 15 |
+
"Illumina 450K",
|
| 16 |
+
"Illumina EPIC"
|
| 17 |
+
],
|
| 18 |
+
"population": "older adults",
|
| 19 |
+
"predicts": [
|
| 20 |
+
"chronological age"
|
| 21 |
+
],
|
| 22 |
+
"research_only": null,
|
| 23 |
+
"species": "Homo sapiens",
|
| 24 |
+
"tissue": [
|
| 25 |
+
"whole blood",
|
| 26 |
+
"saliva",
|
| 27 |
+
"buccal epithelium"
|
| 28 |
+
],
|
| 29 |
+
"training_target": [
|
| 30 |
+
"chronological age"
|
| 31 |
+
],
|
| 32 |
+
"unit": [
|
| 33 |
+
"years"
|
| 34 |
+
],
|
| 35 |
+
"version": "v0.3.0",
|
| 36 |
+
"year": 2023
|
| 37 |
+
}
|
encen40.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d1cbca5b4d8094c659fa2796f646a8dec544575ad97a5c3cefa809893563819
|
| 3 |
+
size 20005
|