Accurate survival prediction of breast cancer holds significant meaning for improving patient care. Approaches using multiple heterogeneous modalities such as gene expression, copy number alteration,
BackgroundIn recent years, remarkable progress has been made in the use of machine learning, especially in analyzing prognosis survival data. Traditional prediction models cannot identify interrelatio
Anonymized data containing survival endpoints and gene signature scores for head and neck cancer patients. File data_os_gs.csv : data linking overall survival and gene signature scores File data_dfs
