Predicting anti-PD-1 immune checkpoint blockade response in melanoma patients with spatially aware machine learning models

Data from the manuscript "Predicting anti-PD-1 immune checkpoint blockade response in melanoma patients with spatially aware machine learning models." Manuscript in press at npj Precision Oncology. Files are organized into data (slide metadata, cell data from mIF image processing) and results (computed cell features, tile features, recurrent cellular neighborhood analysis, and machine learning model results). The code for reproducing this analysis and creating figures can be accessed on GitHub at https://github.com/goeckslab/Melanoma-ICB-mIF.