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Qiuying Sha on Muck Rack

Qiuying Sha

As seen in: arXiv, PLOS, BioRxiv, medRxiv
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Articles

Comparison of Cerebral ECD Perfusion in Patients with Dementia with Lewy Bodies and Parkinson′s Disease Dementia

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By Chen Zhao, Qiuying Sha, Aili Toyli, Guang-Uei Hung
| medRxiv
The authors have declared no competing interest. This research was supported by the National Heart, Lung, And Blood Institute of the National Institutes of Health under Award Number R15HL172198 (PI: Weihua Zhou) and Award Number R15HL173852 (PI: Qiuying Sha) and a Michigan Technological University Undergraduate Research Internship Program (PI: Aili Toyli). This research was also supported by a new faculty start-up grant from Kennesaw State University (PI: Chen Zhao).
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A novel method for multiple phenotype association studies based on genotype and phenotype network

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By Xuewei Cao, Michigan Technological, Shuanglin Zhang, Qiuying Sha
| PLOS
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Cao X, Zhang S, Sha Q (2024) A novel method for multiple phenotype association studies based on genotype and phenotype network. PLoS Genet 20(5): e1011245. https://doi.org/10.1371/journal.pgen.1011245 Editor: Heather J. Cordell, Newcastle University, UNITED KINGDOM Received: August 18, 2023; Accepted: March 29, 2024; Published: May 10, 2024 Copyright: © 2024 Cao et al.
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[2309.08415] A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification

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By Chen Zhao, Joyce Keyak, Qiuying Sha, Diana Páez
| arXiv
[Submitted on 15 Sep 2023 ( v1 ), last revised 20 Feb 2024 (this version, v3)] Title:A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification Download a PDF of the paper titled A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification, by Kristoffer Larsen and 9 other authors Download PDF Abstract:Aims.
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