BioinformaticsPatternsPeer-reviewed
Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology
Zhenzhen Wang, Cesar Augusto Santa-Maria, Aleksander S. Popel, Jeremias Sulam
This study introduces a bi-level graph model to identify prognostic tumor microenvironment patterns in breast cancer, validated across multiple cohorts.
4 citations