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Sai Zhang, Ph.D. - Publications

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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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Harvey C, Weinreich M, Lee JAK, Shaw AC, Ferraiuolo L, Mortiboys H, Zhang S, Hop PJ, Zwamborn RAJ, van Eijk K, Julian TH, Moll T, Iacoangeli A, Al Khleifat A, Quinn JP, et al. Rare and common genetic determinants of mitochondrial function determine severity but not risk of amyotrophic lateral sclerosis. Heliyon. 10: e24975. PMID 38317984 DOI: 10.1016/j.heliyon.2024.e24975  0.329
2022 Jiang P, Gao F, Liu S, Zhang S, Zhang X, Xia Z, Zhang W, Jiang T, Zhu JL, Zhang Z, Shu Q, Snyder M, Li J. Longitudinally tracking personal physiomes for precision management of childhood epilepsy. Plos Digital Health. 1: e0000161. PMID 36812648 DOI: 10.1371/journal.pdig.0000161  0.354
2022 Moll T, Odon V, Harvey C, Collins MO, Peden A, Franklin J, Graves E, Marshall JN, Dos Santos Souza C, Zhang S, Castelli L, Hautbergue G, Azzouz M, Gordon D, Krogan N, et al. Low expression of EXOSC2 protects against clinical COVID-19 and impedes SARS-CoV-2 replication. Life Science Alliance. 6. PMID 36241425 DOI: 10.26508/lsa.202201449  0.394
2022 Wang YJ, Zhang X, Lam CK, Guo H, Wang C, Zhang S, Wu JC, Snyder M, Li J. Systems analysis of de novo mutations in congenital heart diseases identified a protein network in the hypoplastic left heart syndrome. Cell Systems. PMID 36167075 DOI: 10.1016/j.cels.2022.09.001  0.34
2022 Shen X, Shao W, Wang C, Liang L, Chen S, Zhang S, Rusu M, Snyder MP. Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine. Briefings in Bioinformatics. PMID 35947990 DOI: 10.1093/bib/bbac331  0.668
2022 Zhang S, Cooper-Knock J, Weimer AK, Shi M, Kozhaya L, Unutmaz D, Harvey C, Julian TH, Furini S, Frullanti E, Fava F, Renieri A, Gao P, Shen X, Timpanaro IS, et al. Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity. Cell Systems. PMID 35690068 DOI: 10.1016/j.cels.2022.05.007  0.698
2022 Gao P, Shen X, Zhang X, Jiang C, Zhang S, Zhou X, Schüssler-Fiorenza Rose SM, Snyder M. Precision environmental health monitoring by longitudinal exposome and multi-omics profiling. Genome Research. PMID 35667843 DOI: 10.1101/gr.276521.121  0.695
2022 Boddy S, Islam M, Moll T, Kurz J, Burrows D, McGown A, Bhargava A, Julian TH, Harvey C, Marshall JN, Hall BP, Allen SP, Kenna KP, Sanderson E, Zhang S, et al. Unbiased metabolome screen leads to personalized medicine strategy for amyotrophic lateral sclerosis. Brain Communications. 4: fcac069. PMID 35441136 DOI: 10.1093/braincomms/fcac069  0.376
2022 Moll T, Odon V, Harvey C, Collins MO, Peden A, Franklin J, Graves E, Marshall JNG, Dos Santos Souza C, Zhang S, Azzouz M, Gordon D, Krogan N, Ferraiuolo L, Snyder MP, et al. Low expression of EXOSC2 protects against clinical COVID-19 and impedes SARS-CoV-2 replication. Biorxiv : the Preprint Server For Biology. PMID 35291294 DOI: 10.1101/2022.03.06.483172  0.399
2022 Zhang S, Cooper-Knock J, Weimer AK, Shi M, Moll T, Marshall JNG, Harvey C, Nezhad HG, Franklin J, Souza CDS, Ning K, Wang C, Li J, Dilliott AA, Farhan S, et al. Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis. Neuron. PMID 35045337 DOI: 10.1016/j.neuron.2021.12.019  0.388
2021 Julian TH, Boddy S, Islam M, Kurz J, Whittaker KJ, Moll T, Harvey C, Zhang S, Snyder MP, McDermott C, Cooper-Knock J, Shaw PJ. A review of Mendelian randomization in amyotrophic lateral sclerosis. Brain : a Journal of Neurology. PMID 34791088 DOI: 10.1093/brain/awab420  0.362
2021 Zhang S, Cooper-Knock J, Weimer AK, Harvey C, Julian TH, Wang C, Li J, Furini S, Frullanti E, Fava F, Renieri A, Pan C, Song J, Billing-Ross P, Gao P, et al. Common and rare variant analyses combined with single-cell multiomics reveal cell-type-specific molecular mechanisms of COVID-19 severity. Medrxiv : the Preprint Server For Health Sciences. PMID 34189540 DOI: 10.1101/2021.06.15.21258703  0.711
2021 Julian TH, Glascow N, Barry ADF, Moll T, Harvey C, Klimentidis YC, Newell M, Zhang S, Snyder MP, Cooper-Knock J, Shaw PJ. Physical exercise is a risk factor for amyotrophic lateral sclerosis: Convergent evidence from Mendelian randomisation, transcriptomics and risk genotypes. Ebiomedicine. 68: 103397. PMID 34051439 DOI: 10.1016/j.ebiom.2021.103397  0.319
2021 Li Y, Zhang S, Snyder MP, Meador KJ. Precision medicine in women with epilepsy: The challenge, systematic review, and future direction. Epilepsy & Behavior : E&B. 118: 107928. PMID 33774354 DOI: 10.1016/j.yebeh.2021.107928  0.314
2021 He X, Zhang S, Zhang Y, Lei Z, Jiang T, Zeng J. Characterizing RNA Pseudouridylation by Convolutional Neural Networks. Genomics, Proteomics & Bioinformatics. PMID 33631424 DOI: 10.1016/j.gpb.2019.11.015  0.596
2021 Cooper-Knock J, Zhang S, Kenna KP, Moll T, Franklin JP, Allen S, Nezhad HG, Iacoangeli A, Yacovzada NY, Eitan C, Hornstein E, Elhaik E, Celadova P, Bose D, Farhan S, et al. Rare variant burden analysis within enhancers identifies CAV1 as an ALS risk gene. Cell Reports. 34: 108730. PMID 33535055 DOI: 10.1016/j.celrep.2021.108730  0.351
2020 Cooper-Knock J, Zhang S, Kenna KP, Moll T, Franklin JP, Allen S, Nezhad HG, Iacoangeli A, Yacovzada NY, Eitan C, Hornstein E, Ehilak E, Celadova P, Bose D, Farhan S, et al. Rare Variant Burden Analysis within Enhancers Identifies CAV1 as an ALS Risk Gene. Cell Reports. 33: 108456. PMID 33264630 DOI: 10.1016/j.celrep.2020.108456  0.376
2019 Li J, Li X, Zhang S, Snyder M. Gene-Environment Interaction in the Era of Precision Medicine. Cell. 177: 38-44. PMID 30901546 DOI: 10.1016/J.Cell.2019.03.004  0.443
2018 Hu H, Xiao A, Zhang S, Li Y, Shi X, Jiang T, Zhang L, Zhang L, Zeng J. DeepHINT: Understanding HIV-1 integration via deep learning with attention. Bioinformatics (Oxford, England). PMID 30295703 DOI: 10.1093/Bioinformatics/Bty842  0.564
2018 Li J, Pan C, Zhang S, Spin JM, Deng A, Leung LLK, Dalman RL, Tsao PS, Snyder M. Decoding the Genomics of Abdominal Aortic Aneurysm. Cell. 174: 1361-1372.e10. PMID 30193110 DOI: 10.1016/J.Cell.2018.07.021  0.392
2018 Zhu G, Deng W, Hu H, Ma R, Zhang S, Yang J, Peng J, Kaplan T, Zeng J. Reconstructing spatial organizations of chromosomes through manifold learning. Nucleic Acids Research. PMID 29408992 DOI: 10.1093/Nar/Gky065  0.581
2017 Zhang S, Hu H, Zhou J, He X, Jiang T, Zeng J. Analysis of Ribosome Stalling and Translation Elongation Dynamics by Deep Learning. Cell Systems. 5: 212-220.e6. PMID 28957655 DOI: 10.1016/J.Cels.2017.08.004  0.628
2017 Zhang S, Hu H, Jiang T, Zhang L, Zeng J. TITER: predicting translation initiation sites by deep learning. Bioinformatics (Oxford, England). 33: i234-i242. PMID 28881981 DOI: 10.1093/Bioinformatics/Btx247  0.609
2017 Li S, Dong F, Wu Y, Zhang S, Zhang C, Liu X, Jiang T, Zeng J. A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data. Nucleic Acids Research. PMID 28575488 DOI: 10.1093/Nar/Gkx492  0.604
2016 Gong H, Zhang S, Wang J, Gong H, Zeng J. Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 23: 300-10. PMID 27159632 DOI: 10.1089/Cmb.2015.0184  0.582
2015 Zhang S, Zhou J, Hu H, Gong H, Chen L, Cheng C, Zeng J. A deep learning framework for modeling structural features of RNA-binding protein targets. Nucleic Acids Research. PMID 26467480 DOI: 10.1093/Nar/Gkv1025  0.597
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