Knowledge of driver genes whose mutations lead to tumor-genesis is important for understanding the mechanisms of cancer and for identifying promising drug targets.
Identifying dominating genes for drug targets must both consider biologically mean-ingful outcomes and employ an ensemble of e ective data analytics for the identi cation.
For complete ultrahigh-dimensional data,sure independent screening methods can effectively reduce the dimensionality while ensuring that all the active variables can be retained with high probability.
The talk will cover two extensions of the sufficient dimensional reduction method.In one project,we develop a semiparametric functional single index model to study the relation between a univariate re
The main challenge in the context of cure rate analysis is that one never knows whether censored subjects are cured or uncured,or whether they are susceptible or insusceptible to the event of interest