Jacqueline R. M. A. Maasch

According to our database, Jacqueline R. M. A. Maasch authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.

Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang

npj Digit. Medicine, 2024

Local Causal Discovery for Structural Evidence of Direct Discrimination.

Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang

CoRR, 2024

Hybrid Global Causal Discovery with Local Search.

Sujai Hiremath, Jacqueline R. M. A. Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan

CoRR, 2024

2023

Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs.

Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang

CoRR, 2023

2022

Regularized Data Programming with Bayesian Priors.

Jacqueline R. M. A. Maasch, Hao Zhang, Qian Yang, Fei Wang, Volodymyr Kuleshov

CoRR, 2022

Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping.

Chang Su, Yu Hou, Jielin Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Yingying Zhu, Claire Henchcliffe, Feixiong Cheng, Fei Wang

Proceedings of the AMIA 2022, 2022