Jinbo Xu

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Sheng WangZelixir BiotechAdresse e-mail validée de zelixir.com
Jian PengHelixonAdresse e-mail validée de helixon.com
Jianzhu MaTsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Bonnie BergerMITAdresse e-mail validée de mit.edu
Zhiyong WangToyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Siqi SunAssociate Professor; Fudan University, Shanghai AI LabAdresse e-mail validée de fudan.edu.cn
Rohit SinghDuke UniversityAdresse e-mail validée de duke.edu
Dongbo BuBioinformatics lab, Institute of Computing Technology, Chinese Academy of SciencesAdresse e-mail validée de ict.ac.cn
Shuai Cheng LiDepartment of Computer Science, City University of Hong KongAdresse e-mail validée de cityu.edu.hk
Morten KallbergIllumina incAdresse e-mail validée de illumina.com
Zhen LiAssistant Professor, the Chinese University of Hong Kong, Shenzhen (CUHKSZ)Adresse e-mail validée de cuhk.edu.cn
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterAdresse e-mail validée de kaust.edu.sa
Ying XuProfessor, Southern University of Science and Technology (2023/01/15 - )Adresse e-mail validée de uga.edu
Serafim BatzoglouSeerAdresse e-mail validée de seer.bio
Laksshman SundaramGraduate Student in Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Kyle Kai-How FarhPrincipal Investigator, Illumina AI LabAdresse e-mail validée de illumina.com
Boqiao LaiToyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Tobin SosnickProfessor of Biochemistry and Molecular Biology, University of ChicagoAdresse e-mail validée de uchicago.edu
Karl F. FreedProfessor of Chemistry, Emeritis, U of ChicagoAdresse e-mail validée de uchicago.edu
Natalia MaltsevResearch Professor, Department of Human Genetics, The University of ChicagoAdresse e-mail validée de uchicago.edu

Suivre

Jinbo Xu

Professor, Toyota Technological Institute at Chicago

Adresse e-mail validée de ttic.edu - Page d'accueil

Machine Learning Algorithm and Optimization Computational Biology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Opportunities And Obstacles For Deep Learning In Biology And Medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... J R Soc Interface 15 (141), 2018	2279	2018
Template-based protein structure modeling using the RaptorX web server M Källberg, H Wang, S Wang, J Peng, Z Wang, H Lu, J Xu Nature protocols 7 (8), 1511-1522, 2012	1960	2012
Accurate de novo prediction of protein contact map by ultra-deep learning model S Wang, S Sun, Z Li, R Zhang, J Xu PLoS computational biology 13 (1), e1005324, 2017	1045	2017
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model S Wang, S Sun, Z Li, R Zhang, J Xu PLOS Computational Biology 13 (1), e1005324, 2017	1045	2017
Global alignment of multiple protein interaction networks with application to functional orthology detection R Singh, J Xu, B Berger Proceedings of the National Academy of Sciences 105 (35), 12763-12768, 2008	829	2008
Protein secondary structure prediction using deep convolutional neural fields S Wang, J Peng, J Ma, J Xu Scientific reports 6, 2016	706	2016
RaptorX-Property: a web server for protein structure property prediction S Wang, W Li, S Liu, J Xu Nucleic acids research 44 (W1), W430-W435, 2016	603	2016
RaptorX: exploiting structure information for protein alignment by statistical inference J Peng, J Xu Proteins: Structure, Function, and Bioinformatics 79 (S10), 161-171, 2011	457	2011
Predicting the clinical impact of human mutation with deep neural networks L Sundaram, H Gao, SR Padigepati, JF McRae, Y Li, JA Kosmicki, ... Nature genetics 50 (8), 1161-1170, 2018	451	2018
Distance-based protein folding powered by deep learning J Xu Proceedings of the National Academy of Sciences 116 (34), 16856-16865, 2019	424	2019
Pairwise global alignment of protein interaction networks by matching neighborhood topology R Singh, J Xu, B Berger Annual International Conference on Research in Computational Molecular …, 2007	403	2007
Predicting protein–protein interactions through sequence-based deep learning S Hashemifar, B Neyshabur, AA Khan, J Xu Bioinformatics 34 (17), i802-i810, 2018	365	2018
RAPTOR: optimal protein threading by linear programming J Xu, M Li, D Kim, Y Xu Journal of Bioinformatics and Computational Biology 1 (01), 95-117, 2003	359	2003
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
Identification of let-7–regulated oncofetal genes B Boyerinas, SM Park, N Shomron, MM Hedegaard, J Vinther, ... Cancer research 68 (8), 2587, 2008	292	2008
Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, CPJ Xu), DP Curators, SCE Tosatto Nature Methods, 2021	272	2021
Improved protein structure prediction by deep learning irrespective of co-evolution information J Xu, M Mcpartlon, J Li Nature Machine Intelligence, 2021	232	2021
Conditional neural fields J Peng, L Bo, J Xu Advances in neural information processing systems 22, 1419-1427, 2009	229	2009
Protein structure alignment beyond spatial proximity S Wang, J Ma, J Peng, J Xu Scientific reports 3, 1448, 2013	219	2013
Protein threading using context-specific alignment potential J Ma, S Wang, F Zhao, J Xu Bioinformatics 29 (13), i257-i265, 2013	179	2013

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