Xiaohui Xie

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Haoyu MaGenAI at Meta; CS Ph.D.@University of California, IrvineDirección de correo verificada de uci.edu
Wentao ZhuUCI; CASDirección de correo verificada de uci.edu
Shanlin SunUniversity of California, IrvineDirección de correo verificada de uci.edu
Tarjei S. MikkelsenDirección de correo verificada de alum.mit.edu
Bradley BernsteinProfessor of Pathology, Harvard UniversityDirección de correo verificada de broadinstitute.org
Vamsi MoothaMassachusetts General Hospital, Harvard Medical School, HHMIDirección de correo verificada de hms.harvard.edu
Yifei ChenTencentDirección de correo verificada de uci.edu
Xiangyi YanPh.D in Computer Science @ UC IrvineDirección de correo verificada de uci.edu
Jacob BiesingerUniversity of California Irvine, Brigham Young UniversityDirección de correo verificada de uci.edu
Kun HanPhD Student of computer science, University of California, IrvineDirección de correo verificada de uci.edu
Deying KongPhD, University of California, IrvineDirección de correo verificada de uci.edu
Yi LiUniversity of California, IrvineDirección de correo verificada de uci.edu
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Dirección de correo verificada de princeton.edu
Daniel Xin QuangPostdoc, University of MichiganDirección de correo verificada de umich.edu
James CuffOffice of Research Computing and Data @ MITDirección de correo verificada de mit.edu
Manolis KellisProfessor of Computer Science, MIT and Broad InstituteDirección de correo verificada de mit.edu
Manching KuGenentechDirección de correo verificada de gene.com
Liangjian ChenMeta, Reality LabsDirección de correo verificada de meta.com
Lingjie WengLinkedinDirección de correo verificada de uci.edu
Yeeleng Scott VangUniversity of California, IrvineDirección de correo verificada de uci.edu

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Xiaohui Xie

Professor of Computer Science, University of California, Irvine

Dirección de correo verificada de uci.edu - Página principal

AI Machine Learning Genomics Neural Computation


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A bivalent chromatin structure marks key developmental genes in embryonic stem cells BE Bernstein, TS Mikkelsen, X Xie, M Kamal, DJ Huebert, J Cuff, B Fry, ... Cell 125 (2), 315-326, 2006	6329	2006
Genome-wide maps of chromatin state in pluripotent and lineage-committed cells TS Mikkelsen, M Ku, DB Jaffe, B Issac, E Lieberman, G Giannoukos, ... Nature 448 (7153), 553-560, 2007	4971	2007
Genome sequence, comparative analysis and haplotype structure of the domestic dog K Lindblad-Toh, CM Wade, TS Mikkelsen, EK Karlsson, DB Jaffe, ... Nature 438 (7069), 803-819, 2005	3188	2005
Systematic discovery of regulatory motifs in human promoters and 3′ UTRs by comparison of several mammals X Xie, J Lu, EJ Kulbokas, TR Golub, V Mootha, K Lindblad-Toh, ... Nature 434 (7031), 338-345, 2005	2412	2005
Genome-wide detection and characterization of positive selection in human populations PC Sabeti, P Varilly, B Fry, J Lohmueller, E Hostetter, C Cotsapas, X Xie, ... Nature 449 (7164), 913-918, 2007	2308	2007
Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium LJ Ma, HC Van Der Does, KA Borkovich, JJ Coleman, MJ Daboussi, ... Nature 464 (7287), 367-373, 2010	1756	2010
A high-resolution map of human evolutionary constraint using 29 mammals K Lindblad-Toh, M Garber, O Zuk, MF Lin, BJ Parker, S Washietl, ... Nature 478 (7370), 476-482, 2011	1281	2011
Genomewide analysis of PRC1 and PRC2 occupancy identifies two classes of bivalent domains M Ku, RP Koche, E Rheinbay, EM Mendenhall, M Endoh, TS Mikkelsen, ... PLoS genetics 4 (10), e1000242, 2008	1176	2008
DANN: a deep learning approach for annotating the pathogenicity of genetic variants D Quang, Y Chen, X Xie Bioinformatics 31 (5), 761-763, 2014	1119	2014
Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks W Zhu, C Lan, J Xing, W Zeng, Y Li, L Shen, X Xie Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	1005	2016
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences D Quang, X Xie Nucleic acids research 44 (11), e107-e107, 2016	903	2016
Errα and Gabpa/b specify PGC-1α-dependent oxidative phosphorylation gene expression that is altered in diabetic muscle VK Mootha, C Handschin, D Arlow, X Xie, J St. Pierre, S Sihag, W Yang, ... Proceedings of the National Academy of Sciences 101 (17), 6570-6575, 2004	834	2004
Distinguishing protein-coding and noncoding genes in the human genome M Clamp, B Fry, M Kamal, X Xie, J Cuff, MF Lin, M Kellis, K Lindblad-Toh, ... Proceedings of the National Academy of Sciences 104 (49), 19428-19433, 2007	827	2007
Genome of the marsupial Monodelphis domestica reveals innovation in non-coding sequences TS Mikkelsen, MJ Wakefield, B Aken, CT Amemiya, JL Chang, S Duke, ... Nature 447 (7141), 167-177, 2007	787	2007
A mammalian organelle map by protein correlation profiling LJ Foster, CL de Hoog, Y Zhang, Y Zhang, X Xie, VK Mootha, M Mann Cell 125 (1), 187-199, 2006	667	2006
AnatomyNet: deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy W Zhu, Y Huang, L Zeng, X Chen, Y Liu, Z Qian, N Du, W Fan, X Xie Medical physics 46 (2), 576-589, 2019	526	2019
Deeplung: Deep 3d dual path nets for automated pulmonary nodule detection and classification W Zhu, C Liu, W Fan, X Xie 2018 IEEE winter conference on applications of computer vision (WACV), 673-681, 2018	520	2018
Gene expression inference with deep learning Y Chen, Y Li, R Narayan, A Subramanian, X Xie Bioinformatics 32 (12), 1832-1839, 2016	475	2016
Identifying viruses from metagenomic data using deep learning J Ren, K Song, C Deng, NA Ahlgren, JA Fuhrman, Y Li, X Xie, R Poplin, ... Quantitative Biology 8 (1), 64-77, 2020	456	2020
Systematic identification of human mitochondrial disease genes through integrative genomics S Calvo, M Jain, X Xie, SA Sheth, B Chang, OA Goldberger, A Spinazzola, ... Nature genetics 38 (5), 576-582, 2006	451	2006

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