- Link to repository: github.com/llniu/ALD-study
- Link to nature medicine artickle: Noninvasive proteomic biomarkers for alcohol-related liver disease
- summary of scripts used for diverse analysis in the project
- 459 ALD patients (to varying degrees) and 137 age-, bmi-, and gender matched healthy controls in the discovery cohort
- 63 ALD patients in the validation cohort
- Datasets generated and used in this study include proteomics, clinical data (baseline and follow-up), and liver histology characterization.
| file | description |
|---|---|
| ALD_ML | Contains data pre-processing, Feature Selection, Cross-Validation runs, Final model calculation and diverse plots. Some functionality is loaded from src |
| ALD_ML_STATA | References to STATA .do files in main folder. Done in hospital on follow-up data. |
| ALD_PA | Contains Proteomics and Clinical data pre-processing, ANCOVA, Partial correlation, Integration between the liver- and plasma proteomes, and plots. |
| ALD_App | Contains interactive data visualization Dash App. |
Niu, L., Thiele, M., Geyer, Philipp E., Rasmussen, D. N., Webel, H. E., Santos, A., Gupta, R., Meier, F., Strauss, M., Kjaergaard, M., Lindvig, K., Jocobson, S., Rasmussen, S., Hansen, T., Krag, A., & Mann, M. (2021). Noninvasive proteomic biomarkers for alcohol-related liver disease Nat Med 28, 1277–1287 (2022). https://doi.org/10.1038/s41591-022-01850-y
Summary data needed for the Dash app is open-access. The complete plasma proteomics data and clinical data are available from the authors upon reasonable request due to the need to maintain patient confidentiality.
