Interpretable Machine Learning for Discovery: Statistical Challenges & Opportunities. - Allen, Genevera I.; Gan, Luqin; Zheng, Lili (CoRR, 2023)

Correlation Imputation for Single-Cell RNA-seq. - Gan, Luqin; Vinci, Giuseppe; Allen, Genevera I. (J. Comput. Biol., 2022)

Fast and interpretable consensus clustering via minipatch learning. - Gan, Luqin; Allen, Genevera I. (PLoS Comput. Biol., 2022)

Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance. - Gan, Luqin; Zheng, Lili; Allen, Genevera I. (CoRR, 2022)

Fast and Interpretable Consensus Clustering via Minipatch Learning. - Gan, Luqin; Allen, Genevera I. (CoRR, 2021)

Correlation Imputation in Single cell RNA-seq using Auxiliary Information and Ensemble Learning. - Gan, Luqin; Vinci, Giuseppe; Allen, Genevera I. (2020)