Weijia Zhang

MONET provides a unified toolbox for disease module identification in molecular networks using top-performing methods from the DMI DREAM Challenge.

miRBaseConverter provides tools to convert and retrieve miRNA information across miRBase versions, addressing inconsistencies in miRNA data.

The paper proposes a multi-objective splitting procedure to estimate heterogeneous treatment effects by balancing fitness and heterogeneity criteria, achieving better performance than existing methods.