This app displays the results of a study comparing several treatment groups and optionally calculates p-values. Data from one or more studies are loaded from a csv file containing the following column headers (case sensitive):

• study_id
• group_id
• group_type
• reading_value

The file should have one row for each subject. If a group has group_type "control", it will be compared to the other groups using a t-test. The group_type "reference" will suppress this calculation.

The app will also recognize the following columns, providing some additional functionality:

• subject_id - displayed on hover-over of data points
• test_article - displayed in the study selection drop-down
• group_name - replaces group_id on the x-axis
• reading_name - y-axis title

Animal studies are often used to determine if a drug candidate (i.e., test article) has the desired effect in disease model. For example, a study could measure the ability of a compound to reduce tumor size in a mouse cancer model or control blood sugar in diabetic rats. Studies are almost always designed to compare against untreated controls and test for statistical significance.

(The following instructions apply to Windows command line.)

To run this app first clone repository and then open a terminal to the app folder.

git clone https://github.com/plotly/dash-sample-apps.git
cd dash-sample-apps/apps/studybrowser

Create and activate a new virtual environment (recommended) by running the following:

On Windows

virtualenv venv 
\venv\scripts\activate

Or if using linux

python3 -m venv myvenv
source myvenv/bin/activate

Install the requirements:

pip install -r requirements.txt

Run the app:

python app.py

You can run the app on your browser at http://127.0.0.1:8050

To learn more about Dash, please visit documentation.