Sai Zhang
Cited by
Cited by
A deep learning framework for modeling structural features of RNA-binding protein targets
S Zhang, J Zhou, H Hu, H Gong, L Chen, C Cheng, J Zeng
Nucleic acids research 44 (4), e32-e32, 2016
TITER: predicting translation initiation sites by deep learning
S Zhang, H Hu, T Jiang, L Zhang, J Zeng
Bioinformatics 33 (14), i234-i242, 2017
Gene-Environment Interaction in the Era of Precision Medicine
J Li, X Li, S Zhang, M Snyder
Cell 177 (1), 38-44, 2019
Decoding the genomics of abdominal aortic aneurysm
J Li*, C Pan*, S Zhang*, JM Spin, A Deng, LLK Leung, RL Dalman, ...
Cell 174 (6), 1361-1372. e10, 2018
Physical exercise is a risk factor for amyotrophic lateral sclerosis: Convergent evidence from Mendelian randomisation, transcriptomics and risk genotypes
TH Julian, N Glascow, ADF Barry, T Moll, C Harvey, YC Klimentidis, ...
EBioMedicine 68, 2021
Analysis of ribosome stalling and translation elongation dynamics by deep learning
S Zhang, H Hu, J Zhou, X He, T Jiang, J Zeng
Cell systems 5 (3), 212-220. e6, 2017
Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis
S Zhang, J Cooper-Knock, AK Weimer, M Shi, T Moll, JNG Marshall, ...
Neuron, 2022
Reconstructing spatial organizations of chromosomes through manifold learning
G Zhu, W Deng, H Hu, R Ma, S Zhang, J Yang, J Peng, T Kaplan, J Zeng
Nucleic acids research 46 (8), e50-e50, 2018
DeepHINT: understanding HIV-1 integration via deep learning with attention
H Hu, A Xiao, S Zhang, Y Li, X Shi, T Jiang, L Zhang, L Zhang, J Zeng
Bioinformatics 35 (10), 1660-1667, 2019
张赛, 徐恪, 李海涛
西安交通大学学报 47 (2), 124-130, 2013
Rare variant burden analysis within enhancers identifies CAV1 as an ALS risk gene
J Cooper-Knock, S Zhang, KP Kenna, T Moll, JP Franklin, S Allen, ...
Cell Reports 33 (9), 2020
A review of Mendelian randomization in amyotrophic lateral sclerosis
TH Julian, S Boddy, M Islam, J Kurz, KJ Whittaker, T Moll, C Harvey, ...
Brain 145 (3), 832-842, 2022
徐恪, 张赛, 陈昊, 李海涛
计算机学报 37 (001), 165-188, 2014
Precision environmental health monitoring by longitudinal exposome and multi-omics profiling
P Gao, X Shen, X Zhang, C Jiang, S Zhang, X Zhou, SMSF Rose, ...
Genome Research 32 (6), 1199-1214, 2022
A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data
S Li, F Dong, Y Wu, S Zhang, C Zhang, X Liu, T Jiang, J Zeng
Nucleic acids research 45 (14), e129-e129, 2017
Membrane lipid raft homeostasis is directly linked to neurodegeneration
T Moll, JNG Marshall, N Soni, S Zhang, J Cooper-Knock, PJ Shaw
Essays in Biochemistry 65 (7), 999-1011, 2021
Precision medicine in women with epilepsy: the challenge, systematic review, and future direction
Y Li, S Zhang, MP Snyder, KJ Meador
Epilepsy & Behavior 118, 107928, 2021
ROSE: a deep learning based framework for predicting ribosome stalling
S Zhang, H Hu, J Zhou, X He, T Jiang, J Zeng
Available at SSRN 3155721, 2018
Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity
S Zhang, J Cooper-Knock, AK Weimer, M Shi, L Kozhaya, D Unutmaz, ...
Cell systems 13 (8), 598-614. e6, 2022
Constructing structure ensembles of intrinsically disordered proteins from chemical shift data
H Gong, S Zhang, J Wang, H Gong, J Zeng
Journal of Computational Biology 23 (5), 300-310, 2016
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