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Gang Hu
Gang Hu
Professor of Bioinformatics, Nankai University
在 nankai.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life
Z Peng, J Yan, X Fan, MJ Mizianty, B Xue, K Wang, G Hu, VN Uversky, ...
Cellular and Molecular Life Sciences 72, 137-151, 2015
3902015
Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis
X Li, K Wang, Y Lyu, H Pan, J Zhang, D Stambolian, K Susztak, MP Reilly, ...
Nature communications 11 (1), 2338, 2020
3182020
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, SCE Tosatto
Nature methods 18 (5), 472-481, 2021
2212021
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
G Hu, A Katuwawala, K Wang, Z Wu, S Ghadermarzi, J Gao, L Kurgan
Nature communications 12 (1), 4438, 2021
1692021
Data denoising with transfer learning in single-cell transcriptomics
J Wang, D Agarwal, M Huang, G Hu, Z Zhou, C Ye, NR Zhang
Nature methods 16 (9), 875-878, 2019
1682019
APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer’s disease
AT Nguyen, K Wang, G Hu, X Wang, Z Miao, JA Azevedo, ER Suh, ...
Acta neuropathologica 140, 477-493, 2020
1402020
Single-cell RNA sequencing to dissect the immunological network of autoimmune myocarditis
X Hua, G Hu, Q Hu, Y Chang, Y Hu, L Gao, X Chen, PC Yang, Y Zhang, ...
Circulation 142 (4), 384-400, 2020
1102020
Functional analysis of human hub proteins and their interactors involved in the intrinsic disorder-enriched interactions
G Hu, Z Wu, VN Uversky, L Kurgan
International journal of molecular sciences 18 (12), 2761, 2017
1032017
Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis
J Hu, X Li, G Hu, Y Lyu, K Susztak, M Li
Nature machine intelligence 2 (10), 607-618, 2020
982020
Sequence similarity searching
G Hu, L Kurgan
Current protocols in protein science 95 (1), e71, 2019
762019
Untapped potential of disordered proteins in current druggable human proteome
G Hu, Z Wu, K Wang, V N Uversky, L Kurgan
Current drug targets 17 (10), 1198-1205, 2016
592016
A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics
J Lakkis, D Wang, Y Zhang, G Hu, K Wang, H Pan, L Ungar, MP Reilly, ...
Genome research 31 (10), 1753-1766, 2021
472021
In various protein complexes, disordered protomers have large per-residue surface areas and area of protein-, DNA-and RNA-binding interfaces
Z Wu, G Hu, J Yang, Z Peng, VN Uversky, L Kurgan
FEBS letters 589 (19), 2561-2569, 2015
472015
Human structural proteome-wide characterization of Cyclosporine A targets
G Hu, K Wang, J Groenendyk, K Barakat, MJ Mizianty, J Ruan, ...
Bioinformatics 30 (24), 3561-3566, 2014
452014
PDID: database of molecular-level putative protein–drug interactions in the structural human proteome
C Wang, G Hu, K Wang, M Brylinski, L Xie, L Kurgan
Bioinformatics 32 (4), 579-586, 2016
402016
Taxonomic landscape of the dark proteomes: Whole‐proteome scale interplay between structural darkness, intrinsic disorder, and crystallization propensity
G Hu, K Wang, J Song, VN Uversky, L Kurgan
Proteomics 18 (21-22), 1800243, 2018
362018
Improved species-specific lysine acetylation site prediction based on a large variety of features set
Q Wuyun, W Zheng, Y Zhang, J Ruan, G Hu
PloS one 11 (5), e0155370, 2016
362016
Intrinsic disorder in human RNA-binding proteins
B Zhao, A Katuwawala, CJ Oldfield, G Hu, Z Wu, VN Uversky, L Kurgan
Journal of Molecular Biology 433 (21), 167229, 2021
292021
Analysis of conformational B-cell epitopes in the antibody-antigen complex using the depth function and the convex hull
W Zheng, J Ruan, G Hu, K Wang, M Hanlon, J Gao
PloS one 10 (8), e0134835, 2015
252015
An Accurate Method for Prediction of Protein‐Ligand Binding Site on Protein Surface Using SVM and Statistical Depth Function
K Wang, J Gao, S Shen, JA Tuszynski, J Ruan, G Hu
BioMed Research International 2013 (1), 409658, 2013
242013
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