Added pip install computage to doc

README.md

@@ -120,7 +120,11 @@ it can be either rounded by the researchers to full years, or converted from mon
 
 ## Usage Guidelines
 
-Suppose you trained brand-new epigenetic aging clocks model using classic `scikit-learn` library. You saved your model as `pickle` file. Then, the following block of code can be used for benchmarking your model. We also added several other published aging clocks for comparison with yours.
+First install our nice [library](https://github.com/ComputationalAgingLab/ComputAge) for convenient operation with datasets and other tools for aging clock design:
+
+`pip install computage`
+
+Now, suppose you trained a brand-new epigenetic aging clock model using classic `scikit-learn` library. You saved your model as `pickle` file. Then, the following block of code can be used for benchmarking your model. We also added several other published aging clocks for comparison with yours.
 ```python
 from computage import run_benchmark