Zhēndòng Shā 沙桢栋

We propose the Networkbased Subject Portrait Approach (NSPA) and an accompanying feature transformation method to determine the collective risk impact of multiple genetic interactions for each subject. [Link]

We generate a feature co-selection network from multiple evolved feature subsets. A new synthetic feature, namely community risk score (CRS), is created for each network community. CRS quantifies the risk of a community of variables and allows for more effective heterogeneity analysis. [Link]