FastGGM: An Efficient Algorithm for the Inference of Gaussian Graphical Model in Biological Networks. - Ting Wang 003; Zhao Ren; Ying Ding 003; Zhou Fang; Zhe Sun; Matthew L. MacDonald; Robert A. Sweet; Jieru Wang; Wei Chen 074 (PLoS Comput. Biol., 2016)

DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data. - Zhe Sun; Ting Wang 003; Ke Deng; Xiao-Feng Wang; Robert Lafyatis; Ying Ding 003; Ming Hu 001; Wei Chen 074 (Bioinform., 2018)

Deep-learning-based prediction of late age-related macular degeneration progression. - Qi Yan 008; Daniel E. Weeks; Hongyi Xin; Anand Swaroop; Emily Y. Chew; Heng Huang; Ying Ding 003; Wei Chen 074 (Nat. Mach. Intell., 2020)

An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. - Xueer Chen; Lujia Chen 001; Cornelius H. L. Kürten; Fattaneh Jabbari; Lazar Vujanovic; Ying Ding 003; Binfeng Lu; Kevin Lu; Aditi Kulkarni; Tracy Tabib; Robert Lafyatis; Gregory F. Cooper; et al. (PLoS Comput. Biol., 2022)

Dynamic Prediction using Time-Dependent Cox Survival Neural Network. - Lang Zeng; Jipeng Zhang; Wei Chen 074; Ying Ding 003 (CoRR, 2023)

Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances. - Lang Zeng; Weijing Tang; Zhao Ren; Ying Ding 003 (CoRR, 2024)