The research project aims to develop a machine learning method to find the omics biomarker that could capture the complex nonlinear relationship between omics and survival outcomes (e.g. time to dieases.) The applied dataset is used to evaulate the effectiveness of the proposed method.
Nonlinear biomarker discovery for survival analysis
Year of approval
2024
Institute
Tsinghua University (CHN)
Primary applicant
Cui, P.