An AutoML Approach for Predicting Risk of Progression to Active Tuberculosis based on Its Association with Host Genetic Variations. - Wanying Dou; Yihang Liu; Zehai Liu; Dauren Yerezhepov; Ulan Kozhamkulov; Ainur Akilzhanova; Omar Dib; Chee-Kai Chan (ICBBS, 2021)

Machine Learning Approaches to Investigate the Relationship between Genetic Factors and Autism Spectrum Disorder. - Zehai Liu; Gengchen Tian; Jiarui Zhu; Weikang Chen; Wanying Dou; Chun-Te Lee; Chee-Kai Chan; Omar Dib (MLMI, 2021)

Computational Identification of Functional Centers in Complex Proteins: A Step-by-Step Guide With Examples. - Wei Zhou; Wei Chi; Wanting Shen; Wanying Dou; Junyi Wang; Xuechen Tian; Christoph Gehring; Aloysius Wong (Frontiers Bioinform., 2021)

ProbResist: a database for drug-resistant probiotic bacteria. - Wanying Dou; Hemn Barzan Abdalla; Xu Chen; Changyi Sun; Xuefei Chen; Qiwen Tian; Junyi Wang; Wei Zhou; Wei Chi; Xuan Zhou; Hailv Ye; Chuyun Bi; et al. (Database J. Biol. Databases Curation, 2022)

A framework for hyperparameter optimization of genomic cloud pipelines: improving the performance of GATK VETS variant filtration. - Wanying Dou; Samuel K. Lee; Kiran V. Garimella (BIBM, 2024)

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients. - Wanying Dou; Gorkem Durak; Koushik Biswas; Ziliang Hong; Andrea Mia Bejar; Elif Keles; Kaan Akin; Sukru Mehmet Erturk; Alpay Medetalibeyoglu; Marc Sala; Alexander Misharin; Hatice Savas; et al. (CoRR, 2025)

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation. - Zheyuan Zhang; Linkai Peng; Wanying Dou; Cuiling Sun; Halil Ertugrul Aktas; Andrea Mia Bejar; Elif Keles; Gorkem Durak; Ulas Bagci (CoRR, 2025)