Dataset supporting our paper "Comprehensive multiplexed immune profiling of the ductal carcinoma in situ immune microenvironment regarding subsequent ipsilateral invasive breast cancer risk" published
Image data and trained deep learning models to segment the epithelium / Ki67 positive or negative nuclei in haematoxylin/DAB immunohistochemistry images. As described in our manuscript entitled: Devel
Using transgenic mouse models of breast cancer, we demonstrate that loss of ShcA signaling within mammary tumors results in extensive CD4+ T cell infiltration, activation and induction of a humoral im
Tumor-draining lymph node (TDLN) invasion by metastatic cells in breast cancer correlates with poor prognosis and is associated with local immunosuppression, which can be partly mediated by regulatory
Immune-related processes are important in underpinning the properties of clinical traits such as prognosis and drug response in cancer. The possibility to extract knowledge learned by artificial neura
