A machine learning and network framework to discover new indications for small molecules. - Coryandar Gilvary; Jamal Elkhader; Neel Madhukar; Claire Henchcliffe; Marcus D. Goncalves; Olivier Elemento (PLoS Comput. Biol., 2020)

Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping. - Chang Su 002; Yu Hou; Jielin Xu; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Yingying Zhu 003; Claire Henchcliffe; Feixiong Cheng; Fei Wang 001 (AMIA, 2022)

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. - Chang Su 002; Yu Hou; Jielin Xu; Zhenxing Xu; Manqi Zhou; Alison Ke; Haoyang Li 001; Jie Xu 012; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Haotan Zhang; et al. (npj Digit. Medicine, 2024)