Multiplex Analysis Web Apps

Multiplex Analysis Web Apps (MAWA) is a collection of tools developed by data scientists at NIH/NCI/CBIIT to support researchers utilizing multiplex imaging techniques. This suite of apps employs a Streamlit interface and for NIH users can be accessed using NIDAP free of charge.

Local installation and execution (working on both Ubuntu and Windows as of 2024-02-08)

Remember, at NIH, no installation is required; NIDAP should be used instead. NIH users should contact the authors below for more information.

conda update -n base -c conda-forge conda
conda env create -f environment-2024-02-08.yml
conda activate mawa-2024-02-08
streamlit run Multiplex_Analysis_Web_Apps.py

Using MAWA

Each page or app within MAWA is located in the pages folder in this repo. The pages are as follows:

1. 01_data_import_and_export.py
2. multiaxial_gating.py
3. 02_phenotyping.py
4. 03a_Tool_parameter_selection.py
5. 03b_Run_workflow.py
6. 03c_Display_individual_ROI_heatmaps.py
7. 03d_Display_average_heatmaps.py
8. 03e_Display_average_heatmaps_per_annotation.py
9. 03f_Display_ROI_P_values_overlaid_on_slides.py
10. 04a_Neighborhood Profiles.py
11. 04b_UMAP Analyzer.py
12. 04c_Clusters Analyzer.py

Authors

Andrew Weisman
Dante Smith