Machine learning identifies regulatory changes in the lung as key to the conversion of genetic risk to Type 1 diabetes
Rights
CC BY 4.0Data and Resources
Additional Info
| Field | Value |
|---|---|
| Theme | |
| Author | Denis Nyaga (4073458), Daniel Ho (4375723), William Schierding (1220838), Richard Saffery (739189), Mark Vickers (1207776), Jo Perry (1198632), Andreas Kempa-Liehr (4076275), Justin O'Sullivan (1198539) |
| Maintainer | |
| Source | https://figshare.com/articles/dataset/Machine_learning_identifies_regulatory_changes_in_the_lung_as_key_to_the_conversion_of_genetic_risk_to_Type_1_diabetes/12503810 |
| Source Created | 2020-06-24T02:12:28Z |
| Source Modified | 2020-06-24T02:12:28 |
| Language | English |
| Spatial | |
| Source Identifier | 10.17608/k6.auckland.12503810.v5 |