iLR: iterative logistic regression, is a novel method for the inference of genes marking for subtle effects in single-cell RNA-sequencing data. Yingtong led the development of iLR, which uses Pareto front optimization to find optimal gene sets which are small yet accurately classify subtle effects. In collaboration with the Evanthia Roussos Torres lab at USC Keck, iLR was used to identify myeloid cell differentiation pathways as a target of entinostat, an epigenetic modulator.