Refresh citation counts and audited metadata (2026-10-02)
Browse files- README.md +2 -1
- adbahadosingh.pt +2 -2
- config.json +3 -3
README.md
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
---
|
| 2 |
-
license: mit
|
| 3 |
library_name: pyaging
|
| 4 |
tags:
|
| 5 |
- pyaging
|
|
@@ -12,6 +11,8 @@ tags:
|
|
| 12 |
|
| 13 |
PyAging implements the paper’s conventional four-CpG logistic-regression equation and applies a sigmoid to return LOAD case probability; it does not implement the separate high-dimensional deep-learning classifiers also evaluated in the paper.
|
| 14 |
|
|
|
|
|
|
|
| 15 |
| | |
|
| 16 |
|---|---|
|
| 17 |
| **Predicts** | late-onset Alzheimer's disease |
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
library_name: pyaging
|
| 3 |
tags:
|
| 4 |
- pyaging
|
|
|
|
| 11 |
|
| 12 |
PyAging implements the paper’s conventional four-CpG logistic-regression equation and applies a sigmoid to return LOAD case probability; it does not implement the separate high-dimensional deep-learning classifiers also evaluated in the paper.
|
| 13 |
|
| 14 |
+
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
|
| 15 |
+
|
| 16 |
| | |
|
| 17 |
|---|---|
|
| 18 |
| **Predicts** | late-onset Alzheimer's disease |
|
adbahadosingh.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a4b77f424bc1bce6f9f432d909502d459d61240244283f07bc3231966178ad7
|
| 3 |
+
size 4949
|
config.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"approved_by_author": "\u231b",
|
| 3 |
"citation": "Bahado-Singh, R. O., Vishweswaraiah, S., Aydas, B., et al. (2021). Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease. PLOS ONE, 16(4), e0248375.",
|
| 4 |
-
"citations":
|
| 5 |
-
"citations_date": "2026-
|
| 6 |
"clock_name": "adbahadosingh",
|
| 7 |
"data_type": "DNA methylation",
|
| 8 |
"doi": "https://doi.org/10.1371/journal.pone.0248375",
|
|
@@ -30,6 +30,6 @@
|
|
| 30 |
"unit": [
|
| 31 |
"probability"
|
| 32 |
],
|
| 33 |
-
"version": "0.5.
|
| 34 |
"year": 2021
|
| 35 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"approved_by_author": "\u231b",
|
| 3 |
"citation": "Bahado-Singh, R. O., Vishweswaraiah, S., Aydas, B., et al. (2021). Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease. PLOS ONE, 16(4), e0248375.",
|
| 4 |
+
"citations": 34,
|
| 5 |
+
"citations_date": "2026-10-02",
|
| 6 |
"clock_name": "adbahadosingh",
|
| 7 |
"data_type": "DNA methylation",
|
| 8 |
"doi": "https://doi.org/10.1371/journal.pone.0248375",
|
|
|
|
| 30 |
"unit": [
|
| 31 |
"probability"
|
| 32 |
],
|
| 33 |
+
"version": "0.5.7",
|
| 34 |
"year": 2021
|
| 35 |
}
|