Jijun Tang
Jijun Tang
Geverifieerd e-mailadres voor cse.sc.edu
Geciteerd door
Geciteerd door
Steps toward accurate reconstructions of phylogenies from gene-order data
BME Moret, J Tang, LS Wang, T Warnow
Journal of Computer and System Sciences 65 (3), 508-525, 2002
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information
L Wei, J Tang, Q Zou
Information Sciences 384, 135-144, 2017
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
Q Zou, S Wan, Y Ju, J Tang, X Zeng
BMC systems biology 10 (4), 401-412, 2016
Prediction of human protein subcellular localization using deep learning
L Wei, Y Ding, R Su, J Tang, Q Zou
Journal of Parallel and Distributed Computing 117, 212-217, 2018
Inversion medians outperform breakpoint medians in phylogeny reconstruction from gene-order data
BME Moret, AC Siepel, J Tang, T Liu
International Workshop on Algorithms in Bioinformatics, 521-536, 2002
Scaling up accurate phylogenetic reconstruction from gene-order data
J Tang, BME Moret
Bioinformatics 19 (suppl_1), i305-i312, 2003
Identification of drug-target interactions via multiple information integration
Y Ding, J Tang, F Guo
Information Sciences 418, 546-560, 2017
Identification of drug-side effect association via multiple information integration with centered kernel alignment
Y Ding, J Tang, F Guo
Neurocomputing 325, 211-224, 2019
PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only
L Wei, P Xing, J Tang, Q Zou
IEEE transactions on nanobioscience 16 (4), 240-247, 2017
Predicting protein-protein interactions via multivariate mutual information of protein sequences
Y Ding, J Tang, F Guo
BMC bioinformatics 17 (1), 1-13, 2016
Reconstructing phylogenies from gene-content and gene-order data.
BME Moret, J Tang, TJ Warnow
Mathematics of Evolution and Phylogeny, 321-352, 2007
Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC
Y Shen, J Tang, F Guo
Journal of Theoretical Biology 462, 230-239, 2019
MLGO: phylogeny reconstruction and ancestral inference from gene-order data
F Hu, Y Lin, J Tang
BMC bioinformatics 15 (1), 1-6, 2014
A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis
SM Jang, T Geng, JYQ Li, R Xia, CT Huang, H Kim, J Tang
Computers in Human Behavior 84, 103-113, 2018
Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
Y Zhang, L An, J Xu, B Zhang, WJ Zheng, M Hu, J Tang, F Yue
Nature communications 9 (1), 1-9, 2018
Identification of protein–protein interactions via a novel matrix-based sequence representation model with amino acid contact information
Y Ding, J Tang, F Guo
International journal of molecular sciences 17 (10), 1623, 2016
Phylogenetic reconstruction from gene-rearrangement data with unequal gene content
J Tang, BME Moret
Workshop on Algorithms and Data Structures, 37-46, 2003
A fast 3d correspondence method for statistical shape modeling
P Dalal, BC Munsell, S Wang, J Tang, K Oliver, H Ninomiya, X Zhou, ...
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
Gene order phylogeny and the evolution of methanogens
H Luo, Z Sun, W Arndt, J Shi, R Friedman, J Tang
PLoS One 4 (6), e6069, 2009
Adaptive evolution of chloroplast genome structure inferred using a parametric bootstrap approach
L Cui, J Leebens-Mack, LS Wang, J Tang, L Rymarquis, DB Stern, ...
BMC evolutionary biology 6 (1), 1-12, 2006
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Artikelen 1–20