Added link to the original paper

app.py

@@ -74,7 +74,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title='EpImAge', js=js_func, delete_cache
                 - The first column must be a sample ID.
                 - Your data must contain `Age` column for metrics (MAE and Pearson Rho) and Age Acceleration calculation.
                 - Missing values should be `NA` in the corresponding cells.
-                - [Imputation](https://scikit-learn.org/stable/modules/impute.html) of missing values can be performed using KNN, Mean, and Median methods with all methylation data from the [Paper]().
+                - [Imputation](https://scikit-learn.org/stable/modules/impute.html) of missing values can be performed using KNN, Mean, and Median methods with all methylation data from the [Paper](https://www.mdpi.com/1422-0067/26/13/6284).
                 - Data example for GSE87571: [File](https://github.com/GillianGrayson/EpInflammAge/tree/main/data/examples/GSE87571.xlsx).
                 - Calculations take a few minutes, the plot can be displayed slightly later than the results. If imputation is performed, the calculations will take longer.
                 """,