This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Winnipeg directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Exploring the interaction of APOE-ε4and PICALM rs3851179 with dynamic functional connectivity in healthy middle-aged adults at risk for Alzheimer's disease.
Journal of neural engineering · 2026
Estimating progression of Alzheimer's disease with extracellular vesicle-related multi-omics risk models.
Frontiers in aging neuroscience · 2025 · senior author
Hybrid representation learning for human m6A modifications with chromosome-level generalizability.
Bioinformatics advances · 2025 · senior author
Latest funding
- $12,500
Deep learning-driven extendable and interpretable models for high-dimensional and multi-modal complex data
NSERC · 2024 · Principal investigator
- $32,000
Deep learning-driven extendable and interpretable models for high-dimensional and multi-modal complex data
NSERC · 2024 · Principal investigator
28 publications.
Exploring the interaction of APOE-ε4and PICALM rs3851179 with dynamic functional connectivity in healthy middle-aged adults at risk for Alzheimer's disease.
Dharia SY, Valderrama CE, Liu Q, Smith SD
Estimating progression of Alzheimer's disease with extracellular vesicle-related multi-omics risk models.
Zhang X, Wijenayake S, Hossain S, Liu Q
Hybrid representation learning for human m6A modifications with chromosome-level generalizability.
Tahir M, Ramanna S, Liu Q
A review of AI-based radiogenomics in neurodegenerative disease.
Liu H, Zhang X, Liu Q
A graph neural network approach for hierarchical mapping of breast cancer protein communities.
Zhang X, Liu Q
ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning.
Li Y, Lac L, Liu Q, Hu P
Conditional probabilistic diffusion model driven synthetic radiogenomic applications in breast cancer.
Chen L, Huang ZH, Sun Y, Domaratzki M, Liu Q, Hu P
NNICE: a deep quantile neural network algorithm for expression deconvolution.
Jin YW, Hu P, Liu Q
E-cardiac patch to sense and repair infarcted myocardium.
Qiu R, Zhang X, Song C, Xu K, Nong H, Li Y, Xing X, Mequanint K, Liu Q, Yuan Q, Sun X, Xing M, Wang L
Conditional generative adversarial network driven radiomic prediction of mutation status based on magnetic resonance imaging of breast cancer.
Huang ZH, Chen L, Sun Y, Liu Q, Hu P
Deep learning-driven extendable and interpretable models for high-dimensional and multi-modal complex data
Principal investigators: Liu, Qian
Keywords: multi-modal data; high-dimensional data; deep learning; generative ai; feature selection; graph neural network; explainable ai; statistical modelling; hierarchical clustering; data visualization
Deep learning-driven extendable and interpretable models for high-dimensional and multi-modal complex data
Principal investigators: Liu, Qian
Keywords: multi-modal data; high-dimensional data; deep learning; generative ai; feature selection; graph neural network; explainable ai; statistical modelling; hierarchical clustering; data visualization
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
- Pingzhao Hu and Qian Liu: 19 shared papers
- Kibret Mequanint and Malcolm Xing: 13 shared papers
- Wei Xu and Pingzhao Hu: 8 shared papers
- Leigh Murphy and Pingzhao Hu: 2 shared papers
- Leigh Murphy and Qian Liu: 2 shared papers
- Brian Raught and Wei Xu: 1 shared paper
- Brian Raught and Qian Liu: 1 shared paper
- Kibret Mequanint and Qian Liu: 1 shared paper
- Wei Xu and Qian Liu: 1 shared paper
- Malcolm Xing and Qian Liu: 1 shared paper
- Sheela Ramanna and Qian Liu: 1 shared paper
- Sanoji Wijenayake and Qian Liu: 1 shared paper
- Biostatistics Division
- Applied Computer Science
- Manitoba Institute of Cell Biology
- Research Institute
- Chemical and Biochemical Engineering
- Mechanical Engineering
- Biological Sciences
- Other
Co-authors at University of Winnipeg, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Pingzhao Hu
Biostatistics Division
19 shared papers, latest 2024
Leigh Murphy
Manitoba Institute of Cell Biology
2 shared papers, latest 2023
Wei Xu
Biostatistics Division
1 shared papers, latest 2021
Malcolm Xing
Mechanical Engineering
1 shared papers, latest 2024
Sheela Ramanna
Applied Computer Science Dept.
1 shared papers, latest 2025
Brian Raught
Research Institute
1 shared papers, latest 2023
Sanoji Wijenayake
Biological Sciences
1 shared papers, latest 2025
Kibret Mequanint
Chemical and Biochemical Engineering
1 shared papers, latest 2024
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