ARISE model (UK version)

Concept: Dr. Gino Baudry (EPFL, Imperial College London, gino.baudry[at]epfl.ch)

Setup

Software

1. Install Anaconda 3 (last available version)

2. Install KNIME Analytics platform (recommended version 4.6 or higher)

3. Install Microsoft Power BI (free version)

Virtual environment (to do if and only if you are using KNIME 4.5 or bellow)

Create a Python virtual environment using Anaconda 3:

Save the following text as "py36_knime452.yml" in Anaconda 3:

name: py36_knime452
channels:
- defaults
- anaconda
dependencies:
- python=3.6      
- pandas=0.23         

In Anaconda prompt, create the virtual environment:

conda env create -f py36_knime452

Activate and update any packages if necessary.

conda activate py36_knime452

KNIME workspace

Run KNIME as an administrator and choose a Workspace. This can be setup at your convenience, but you must put the ARISE folder in this Workspace.

Python environment

To do if you are using KNIME <4.5 or if KNIME cannot automatically find the Anaconda repository. Set it in the KNIME preferences by browsing to the Python.exe that is inside your virtual working environment.

ARISE

Open the ARISE workflow in KNIME (arise-knime/workflow/[arise]united-kingdom(v1.x)). Please refer to the attached documentation for additional Help.

Pathway computation

Explore the multiple levers at your convenience and hit the "execute all" button to compute and explore the results. Optionnaly, name your pathway and activate the saving option to export it in the pathway explorer for a better experience and to share the outputs easily.

Pathway explorer

Run Power BI and open ARISE data to explore the pre-saved pathways as well as yours.