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Thuc Duy Le on Muck Rack

Thuc Duy Le

Adelaide
As seen in: Nature, Oxford Academic, medRxiv
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Articles

A latent outcome variable approach for Mendelian randomization using the expectation maximization algorithm

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By Natalie T. Mills, Thuc Duy Le, Elina Hyppönen, Lamessa Dube Amente
| medRxiv
The authors have declared no competing interest. https://github.com/lamessad/MRLOVA Lamessa Amente acknowledges funding from the Australian Government Research Training Program (RTP) scholarship. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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Crosstalk between genomic variants and DNA methylation in FLT3 mutant acute myeloid leukemia

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By Thuc Duy, Thuc Duy Le, Van Ngu, Phuc Loi
| Oxford Academic Verified
Acute myeloid leukemia (AML) stands as one of the most prevalent blood malignancies globally, accounting for 33% of blood cancers overall, and is characterized by the lowest survival rates (with a 5-year survival rate of 24%) [1, 2].
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Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation

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By Thuc Duy, Lin Liu, Kui Yu, Thuc Duy Le
| arxiv.org
[Submitted on 13 Nov 2020 ( v1 ), last revised 17 Apr 2024 (this version, v2)] Title:Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation View a PDF of the paper titled Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation, by Sha Lu and 5 other authors View PDF HTML (experimental) Abstract:Anomaly detection is crucial for understanding unusual behaviors in data, as anomalies offer valuable insights.
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