Xiaohui Xie
Xiaohui Xie
Professor of Computer Science, University of California, Irvine
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
DANN: a deep learning approach for annotating the pathogenicity of genetic variants
D Quang, Y Chen, X Xie
Bioinformatics 31 (5), 761-763, 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
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
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
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
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
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
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
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
Gene expression inference with deep learning
Y Chen, Y Li, R Narayan, A Subramanian, X Xie
Bioinformatics 32 (12), 1832-1839, 2016
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
Identifying novel constrained elements by exploiting biased substitution patterns
M Garber, M Guttman, M Clamp, MC Zody, N Friedman, X Xie
Bioinformatics 25 (12), i54-i62, 2009
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