Jianzhu Ma

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Jian PengHelixonDirección de correo verificada de helixon.com
Jinbo XuProfessor, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Sheng WangZelixir BiotechDirección de correo verificada de zelixir.com
Trey IdekerUniversity of California San DiegoDirección de correo verificada de ucsd.edu
Sheng WangAssistant Professor at University of WashingtonDirección de correo verificada de uw.edu
Roded SharanTel Aviv UniversityDirección de correo verificada de post.tau.ac.il
Keiichiro OnoUniversity of California, San DiegoDirección de correo verificada de ucsd.edu
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligenceDirección de correo verificada de mbzuai.ac.ae
Joseph R. EckerHoward Hughes Medical Institute and The Salk Institute for Biological StudiesDirección de correo verificada de Salk.edu
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoDirección de correo verificada de salk.edu
Jesse DixonAssistant Professor, Salk Institute for Biological SciencesDirección de correo verificada de salk.edu
Muhan ZhangPeking UniversityDirección de correo verificada de pku.edu.cn
Ben RaphaelProfessor of Computer Science, Princeton UniversityDirección de correo verificada de princeton.edu
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisDirección de correo verificada de cs.uiuc.edu
Mingfu ShaoDepartment of Computer Science and Engineerings, The Pennsylvania State UniversityDirección de correo verificada de psu.edu
Stefano ErmonStanford UniversityDirección de correo verificada de cs.stanford.edu
Xuegong ZhangTsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Jian MaRay and Stephanie Lane Professor of Computational Biology, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Gene Yeo PhD MBAProfessor of Cellular and Molecular Medicine at UC San DiegoDirección de correo verificada de ucsd.edu
Wei-Ying MaTsinghua UniversityDirección de correo verificada de air.tsinghua.edu.cn

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Jianzhu Ma

Tsinghua University

Dirección de correo verificada de tsinghua.edu.cn - Página principal

Machine Learning Computational Biology Bioinformatics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Protein secondary structure prediction using deep convolutional neural fields S Wang, J Peng, J Ma, J Xu Scientific reports 6 (1), 1-11, 2016	711	2016
Using deep learning to model the hierarchical structure and function of a cell J Ma, MK Yu, S Fong, K Ono, E Sage, B Demchak, R Sharan, T Ideker Nature methods 15 (4), 290-298, 2018	426	2018
Predicting drug response and synergy using a deep learning model of human cancer cells BM Kuenzi, J Park, SH Fong, KS Sanchez, J Lee, JF Kreisberg, J Ma, ... Cancer cell 38 (5), 672-684. e6, 2020	382	2020
High-resolution de novo structure prediction from primary sequence R Wu, F Ding, R Wang, R Shen, X Zhang, S Luo, C Su, Z Wu, Q Xie, ... BioRxiv, 2022.07. 21.500999, 2022	369	2022
RaptorX server: a resource for template-based protein structure modeling M Källberg, G Margaryan, S Wang, J Ma, J Xu Protein structure prediction, 17-27, 2014	313	2014
A 3D generative model for structure-based drug design S Luo, J Guan, J Ma, J Peng Advances in Neural Information Processing Systems 34, 6229-6239, 2021	225	2021
Antigen-specific antibody design and optimization with diffusion-based generative models for protein structures S Luo, Y Su, X Peng, S Wang, J Peng, J Ma Advances in Neural Information Processing Systems 35, 9754-9767, 2022	222	2022
Protein structure alignment beyond spatial proximity S Wang, J Ma, J Peng, J Xu Scientific reports 3 (1), 1448, 2013	220	2013
Pocket2mol: Efficient molecular sampling based on 3d protein pockets X Peng, S Luo, J Guan, Q Xie, J Peng, J Ma International Conference on Machine Learning, 17644-17655, 2022	203	2022
Protein threading using context-specific alignment potential J Ma, S Wang, F Zhao, J Xu Bioinformatics 29 (13), i257-i265, 2013	179	2013
3d equivariant diffusion for target-aware molecule generation and affinity prediction J Guan, WW Qian, X Peng, Y Su, J Peng, J Ma arXiv preprint arXiv:2303.03543, 2023	167	2023
Visible machine learning for biomedicine KY Michael, J Ma, J Fisher, JF Kreisberg, BJ Raphael, T Ideker Cell 173 (7), 1562-1565, 2018	167	2018
Instaflow: One step is enough for high-quality diffusion-based text-to-image generation X Liu, X Zhang, J Ma, J Peng The Twelfth International Conference on Learning Representations, 2023	160	2023
Large-scale foundation model on single-cell transcriptomics M Hao, J Gong, X Zeng, C Liu, Y Guo, X Cheng, T Wang, J Ma, X Zhang, ... Nature Methods, 1-11, 2024	157	2024
SARS-CoV-2 exacerbates proinflammatory responses in myeloid cells through C-type lectin receptors and Tweety family member 2 Q Lu, J Liu, S Zhao, MFG Castro, M Laurent-Rolle, J Dong, X Ran, ... Immunity 54 (6), 1304-1319. e9, 2021	153	2021
Robust single-cell Hi-C clustering by convolution-and random-walk–based imputation J Zhou, J Ma, Y Chen, C Cheng, B Bao, J Peng, TJ Sejnowski, JR Dixon, ... Proceedings of the National Academy of Sciences 116 (28), 14011-14018, 2019	151	2019
Breaking the limit of graph neural networks by improving the assortativity of graphs with local mixing patterns S Suresh, V Budde, J Neville, P Li, J Ma Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021	146	2021
Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients J Ma, SH Fong, Y Luo, CJ Bakkenist, JP Shen, S Mourragui, LFA Wessels, ... Nature Cancer 2 (2), 233-244, 2021	146	2021
Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning J Ma, S Wang, Z Wang, J Xu Bioinformatics 31 (21), 3506-3513, 2015	143	2015
AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields S Wang, J Ma, J Xu Bioinformatics 32 (17), i672-i679, 2016	137	2016

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