Domain Generalization Enables General Cancer Cell Annotation In Single-cell And Spatial Transcriptomics

Domain generalization is a machine learning technique that allows for accurate identification of malignant cells in tumor microenvironments using single-cell or spatial data. This is achieved by training a deep neural network on multiple datasets from different tissues, and then using it to predict labels for unknown datasets. This approach has led to the development of Cancer-Finder, a tool for accurate cell annotation in cancer research.