Faculty profile
Kaiqiong Zhao
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Research
Latest papers
A novel high-dimensional model for identifying regional DNA methylation QTLs.
Biostatistics (Oxford, England) · 2025 · first author
Addressing dispersion in mis-measured multivariate binomial outcomes: A novel statistical approach for detecting differentially methylated regions in bisulfite sequencing data.
Statistics in medicine · 2024 · first author
Latest funding
- $12,500
Novel statistical methods for complex data-enabled learning and causal discovery
NSERC · 2024 · Principal investigator
- $30,000
Novel statistical methods for complex data-enabled learning and causal discovery
NSERC · 2024 · Principal investigator
2 publications.
A novel high-dimensional model for identifying regional DNA methylation QTLs.
Zhao K, Yang AY, Oualkacha K, Zeng Y, Klein K, Hudson M, Colmegna I, Bernatsky S, Greenwood CMT
Addressing dispersion in mis-measured multivariate binomial outcomes: A novel statistical approach for detecting differentially methylated regions in bisulfite sequencing data.
Zhao K, Oualkacha K, Zeng Y, Shen C, Klein K, Lakhal-Chaieb L, Labbe A, Pastinen T, Hudson M, Colmegna I, Bernatsky S, Greenwood CMT
Novel statistical methods for complex data-enabled learning and causal discovery
Principal investigators: Zhao, Kaiqiong
Keywords: integrative statistical method; robustness to distributional shift; mendelian randomization; sparse high-dimensional models; sequencing-derived epigenetics data; heterogeneous multi-source data; summary-level genetic association data; dna methylation analysis
Novel statistical methods for complex data-enabled learning and causal discovery
Principal investigators: Zhao, Kaiqiong
Keywords: integrative statistical method; robustness to distributional shift; mendelian randomization; sparse high-dimensional models; sequencing-derived epigenetics data; heterogeneous multi-source data; summary-level genetic association data; dna methylation analysis
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
- Sasha Bernatsky and Marie Hudson: 40 shared papers
- Sasha Bernatsky and Kaiqiong Zhao: 2 shared papers
- Marie Hudson and Lajmi Lakhal-Chaieb: 2 shared papers
- Marie Hudson and Kaiqiong Zhao: 2 shared papers
- Sasha Bernatsky and Lajmi Lakhal-Chaieb: 1 shared paper
- Lajmi Lakhal-Chaieb and Kaiqiong Zhao: 1 shared paper
- Department of Mathematics and Statistics
- Psychiatry
- Medicine
- Mathématiques et statistique
Co-authors at York University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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