Sync epicga
Browse files- README.md +38 -0
- config.json +35 -0
- epicga.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 |
+
# epicga
|
| 12 |
+
|
| 13 |
+
LASSO predictor of ultrasound-estimated gestational age in days from umbilical cord-blood DNA methylation, trained in 755 non-ART START newborns.
|
| 14 |
+
|
| 15 |
+
| | |
|
| 16 |
+
|---|---|
|
| 17 |
+
| **Predicts** | gestational age |
|
| 18 |
+
| **Species** | Homo sapiens |
|
| 19 |
+
| **Tissue** | cord blood |
|
| 20 |
+
| **Data type** | DNA methylation |
|
| 21 |
+
| **Model type** | LASSO regression |
|
| 22 |
+
| **Year** | 2021 |
|
| 23 |
+
|
| 24 |
+
## Use with pyaging
|
| 25 |
+
|
| 26 |
+
```python
|
| 27 |
+
import pyaging as pya
|
| 28 |
+
|
| 29 |
+
pya.pred.predict_age(adata, ["epicga"])
|
| 30 |
+
```
|
| 31 |
+
|
| 32 |
+
Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).
|
| 33 |
+
|
| 34 |
+
## Citation
|
| 35 |
+
|
| 36 |
+
Haftorn, K. L. et al. An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies. Clinical Epigenetics 13, 82 (2021).
|
| 37 |
+
|
| 38 |
+
https://doi.org/10.1186/s13148-021-01055-z
|
config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"approved_by_author": "\u231b",
|
| 3 |
+
"citation": "Haftorn, K. L. et al. An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies. Clinical Epigenetics 13, 82 (2021).",
|
| 4 |
+
"citations": 54,
|
| 5 |
+
"citations_date": "2026-07-05",
|
| 6 |
+
"clock_name": "epicga",
|
| 7 |
+
"data_type": "DNA methylation",
|
| 8 |
+
"doi": "https://doi.org/10.1186/s13148-021-01055-z",
|
| 9 |
+
"journal": "Clinical Epigenetics",
|
| 10 |
+
"last_author": "Jon Bohlin",
|
| 11 |
+
"model_type": "LASSO regression",
|
| 12 |
+
"n_features": 176,
|
| 13 |
+
"notes": "LASSO predictor of ultrasound-estimated gestational age in days from umbilical cord-blood DNA methylation, trained in 755 non-ART START newborns.",
|
| 14 |
+
"platform": [
|
| 15 |
+
"Illumina EPIC"
|
| 16 |
+
],
|
| 17 |
+
"population": "newborns",
|
| 18 |
+
"postprocess": "days_to_weeks",
|
| 19 |
+
"predicts": [
|
| 20 |
+
"gestational age"
|
| 21 |
+
],
|
| 22 |
+
"research_only": null,
|
| 23 |
+
"species": "Homo sapiens",
|
| 24 |
+
"tissue": [
|
| 25 |
+
"cord blood"
|
| 26 |
+
],
|
| 27 |
+
"training_target": [
|
| 28 |
+
"gestational age"
|
| 29 |
+
],
|
| 30 |
+
"unit": [
|
| 31 |
+
"days"
|
| 32 |
+
],
|
| 33 |
+
"version": "v0.3.0",
|
| 34 |
+
"year": 2021
|
| 35 |
+
}
|
epicga.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:058b25c7010397817088b03e73a7200ab3783b5ebb9f10806cd062353cf2e37a
|
| 3 |
+
size 9253
|