This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Queen's University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Correction: Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis.
BioData mining · 2025 · senior author
Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis.
BioData mining · 2025 · senior author
Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis.
BioData mining · 2024 · senior author
Latest funding
- $146,183
Customizable Platform for Autonomous Agriculture Research
NSERC · 2023 · Co-investigator
- $82,000
Interpretable and explainable learning with evolutionary computing
NSERC · 2023 · Principal investigator
- $125,000
Cardiac-specific Targeting of Tumor Suppressor LATS for Heart Failure Therapy
SSHRC · 2022 · Co-investigator
15 publications.
Correction: Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis.
Sivanathan S, Hu T
Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis.
Sivanathan S, Hu T
Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis.
Sha Z, Freda PJ, Bhandary P, Ghosh A, Matsumoto N, Moore JH, Hu T
Integrating graph and reinforcement learning for vaccination strategies in complex networks.
Dong Z, Chen Y, Li C, Tricco TS, Hu T
Distinct Network Patterns Emerge from Cartesian and XOR Epistasis Models: A Comparative Network Science Analysis.
Sha Z, Freda PJ, Bhandary P, Ghosh A, Matsumoto N, Moore JH, Hu T
NSPA: characterizing the disease association of multiple genetic interactions at single-subject resolution.
Sha Z, Chen Y, Hu T
Magnetic solid-phase extraction method with modified magnetic ferroferric oxide nanoparticles in a deep eutectic solvent and high-performance liquid chromatography used for the analysis of pharmacologically active ingredients of Epimedium folium.
Zhang Y, Li Z, Li L, Gao M, Lang Y, Zhang M, Likhodii S, Hu T, Zhang M, Zhang W
Editorial Introduction.
Trujillo L, Hu T, Lourenço N, Zhang M
Endogenous cortisol excess confers a unique lipid signature and metabolic network.
Vega-Beyhart A, Iruarrizaga M, Pané A, García-Eguren G, Giró O, Boswell L, Aranda G, Flores V, Casals G, Alonso C, Mora M, Halperin I, Carmona F, Enseñat J, Vidal O, Hu T, Rojo G, Gomis R, Hanzu FA
SMILE: systems metabolomics using interpretable learning and evolution.
Sha C, Cuperlovic-Culf M, Hu T
Customizable Platform for Autonomous Agriculture Research
Principal investigators: Muise, Christian
Interpretable and explainable learning with evolutionary computing
Principal investigators: Hu, Ting
Keywords: evolutionary computing; genetic programming; genetic algorithm; bio-inspired computing; bioinformatics
Cardiac-specific Targeting of Tumor Suppressor LATS for Heart Failure Therapy
Principal investigators: Yang, Xiaolong
Keywords: Molecular biology; Cardiovascular pathology; Artificial intelligence; Drug Discovery; Cardiovascular biology; Bioluminescent biosensor; Cardiac-specific targeting; LATS Tumor Suppressor; Nanobubble drug delivery
CREATE Training Program in Medical Informatics: Preparing Canada's Workforce for Health Data of Tomorrow
Principal investigators: Mousavi, Parvin P
Keywords: artificial intelligence; computer-aided interventions; data science; decision making in digital health; democratization of ai for health; digital health; imaging informatics; machine learning; medical image and signal procession; medical informatics
Robustness and Evolvability of Evolutionary Algorithms
Principal investigators: Hu, Ting
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Ting Hu and Yuanzhu Chen: 2 shared papers
- Miroslava Cuperlovic-Culf and Ting Hu: 1 shared paper
- Cheng Li and Ting Hu: 1 shared paper
- Cheng Li and Yuanzhu Chen: 1 shared paper
- Computing, School of
- Computer Science
- Engineering Science, School of
- Biochemistry, Microbiology & Immunology
Co-authors at Queen's University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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