Sai Zhang, Ph.D.

Affiliations: 
2013-2017 Institute for Interdisciplinary Information Sciences Tsinghua University 
 2017- Department of Genetics Stanford University, Palo Alto, CA 
Area:
Computational Biology; Machine Learning
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"Sai Zhang"

Parents

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Jianyang Zeng grad student (Robotree)
Michael Snyder post-doc (Computational Biology Tree)
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Publications

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Harvey C, Nowak A, Zhang S, et al. (2024) Evaluation of a biomarker for amyotrophic lateral sclerosis derived from a hypomethylated DNA signature of human motor neurons. Research Square
Li H, Zeng J, Snyder MP, et al. (2024) Modeling gene interactions in polygenic prediction via geometric deep learning. Genome Research
Weinreich M, McDonough H, Yacovzada N, et al. (2024) predicTTE: An accessible and optimal tool for time-to-event prediction in neurological diseases. Biorxiv : the Preprint Server For Biology
Zhang S, Shu H, Zhou J, et al. (2024) Deconvolution of polygenic risk score in single cells unravels cellular and molecular heterogeneity of complex human diseases. Biorxiv : the Preprint Server For Biology
Zhang S, Moll T, Rubin-Sigler J, et al. (2024) Deep learning modeling of rare noncoding genetic variants in human motor neurons defines as a therapeutic target for ALS. Medrxiv : the Preprint Server For Health Sciences
Harvey C, Weinreich M, Lee JAK, et al. (2024) Rare and common genetic determinants of mitochondrial function determine severity but not risk of amyotrophic lateral sclerosis. Heliyon. 10: e24975
Jiang P, Gao F, Liu S, et al. (2022) Longitudinally tracking personal physiomes for precision management of childhood epilepsy. Plos Digital Health. 1: e0000161
Moll T, Odon V, Harvey C, et al. (2022) Low expression of EXOSC2 protects against clinical COVID-19 and impedes SARS-CoV-2 replication. Life Science Alliance. 6
Wang YJ, Zhang X, Lam CK, et al. (2022) Systems analysis of de novo mutations in congenital heart diseases identified a protein network in the hypoplastic left heart syndrome. Cell Systems
Shen X, Shao W, Wang C, et al. (2022) Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine. Briefings in Bioinformatics
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