1. Installation

Epical is coded in Python. It needs Python 3 (version >= 3.5.x and <= 3.11.x) or a later version for installation and execution.

1.1. Prerequisites

Python 3 (>=3.5.x, <3.11.x)
pip3
R

1.2. Python Dependencies

Note

As of Jan 10, 2024. TensorFlow does NOT support Python 3.12 and 3.13

Note

Users do NOT need to install these packages manually, as they will be automatically installed if you use pip3.

1.3. Install Epical

# Create virtual environment. In this example, we used conda to create a virtual environment named bioage.

conda create -n bioage

Collecting package metadata (current_repodata.json): done
Solving environment: done
...

# Activate the bioage virtual environment

conda activate bioage

# Install epical

pip3 install epical

Collecting epical
  Downloading epical-0.0.1-py3-none-any.whl.metadata (2.4 kB)
Requirement already satisfied: numpy in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from epical) (1.26.3)
Collecting scipy (from epical)
  Downloading scipy-1.11.4-cp311-cp311-macosx_10_9_x86_64.whl.metadata (60 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.4/60.4 kB 923.3 kB/s eta 0:00:00
Collecting scikit-learn (from epical)
  Downloading scikit_learn-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl.metadata (11 kB)
Collecting bx-python (from epical)
...

1.4. Upgrade Epical

pip3 install epical --upgrade

1.5. Uninstall Epical

pip3 uninstall epical