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2020 – today
- 2024
[i2]Boshen Wang, Bowei Ye, Lin Xu, Jie Liang:
ALPHAGMUT: A Rationale-Guided Alpha Shape Graph Neural Network to Evaluate Mutation Effects. CoRR abs/2406.09159 (2024)- [i1]Boshen Wang, Luis E. Ortiz:
A Machine Learning Approach to Detect Strategic Behavior from Large-Population Observational Data Applied to Game Mode Prediction on a Team-Based Video Game. CoRR abs/2410.15684 (2024) - 2023
- [j1]Boshen Wang
, Xue Lei, Wei Tian, Alan Perez-Rathke, Yan-Yuan Tseng, Jie Liang:
Structure-based pathogenicity relationship identifier for predicting effects of single missense variants and discovery of higher-order cancer susceptibility clusters of mutations. Briefings Bioinform. 24(4) (2023) - [c5]Bowei Ye, Boshen Wang, Jie Liang:
Predicting Pathology of Missense Mutations through Protein-Specific Evolutionary Pattern. EMBC 2023: 1-4 - 2020
- [c4]Luis E. Ortiz, Boshen Wang, Ze Gong:
Correlated Equilibria for Approximate Variational Inference in MRFs. PGM 2020: 329-340
2010 – 2019
- 2019
- [c3]Xue Lei, Boshen Wang, Alan Perez-Rathke, Wei Tian, Chia-Yi Chou, Yan-Yuan Tseng, Jie Liang:
Predicting Oncogenic Missense Mutations. BHI 2019: 1-4 - [c2]Boshen Wang, Wei Tian, Xue Lei, Alan Perez-Rathke, Yan Yuan Tseng, Jie Liang:
Structure-based Method for Predicting Deleterious Missense SNPs. BHI 2019: 1-4 - 2018
- [c1]Boshen Wang, Alan Perez-Rathke, Renhao Li, Jie Liang:
A general method for predicting amino acid residues experiencing hydrogen exchange. BHI 2018: 341-344
Coauthor Index
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