| 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 | 304 | 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 | 114 | 2017 |
| 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 | 108 | 2021 |
| 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 | 93 | 2022 |
| Gene-Environment Interaction in the Era of Precision Medicine J Li, X Li, S Zhang, M Snyder Cell 177 (1), 38-44, 2019 | 92 | 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 | 88 | 2018 |
| 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 | 67 | 2017 |
| 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 | 62 | 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 | 60 | 2019 |
| 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 | 53 | 2022 |
| 微博类社交网络中信息传播的测量与分析 张赛， 徐恪， 李海涛 西安交通大学学报 47 (2), 124-130, 2013 | 48 | 2013 |
| 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 | 45 | 2022 |
| 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 | 39 | 2020 |
| 在线社会网络的测量与分析 徐恪， 张赛， 陈昊， 李海涛 计算机学报 37 (001), 165-188, 2014 | 29 | 2014 |
| 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 | 24 | 2021 |
| 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 | 22 | 2017 |
| Advances in the genetic classification of amyotrophic lateral sclerosis J Cooper-Knock, C Harvey, S Zhang, T Moll, IS Timpanaro, KP Kenna, ... Current opinion in neurology 34 (5), 756-764, 2021 | 21 | 2021 |
| 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 | 20 | 2022 |
| 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 | 20 | 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 | 15 | 2018 |
Michael SnyderStanford UniversityVerified email at stanford.edu
