| 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 | 390 | 2015 |
| 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 | 318 | 2020 |
| Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 221 | 2021 |
| 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 | 169 | 2021 |
| 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 | 168 | 2019 |
| 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 | 140 | 2020 |
| 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 | 110 | 2020 |
| 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 | 103 | 2017 |
| 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 | 98 | 2020 |
| Sequence similarity searching G Hu, L Kurgan Current protocols in protein science 95 (1), e71, 2019 | 76 | 2019 |
| 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 | 59 | 2016 |
| 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 | 47 | 2021 |
| 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 | 47 | 2015 |
| 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 | 45 | 2014 |
| 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 | 40 | 2016 |
| 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 | 36 | 2018 |
| 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 | 36 | 2016 |
| 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 | 29 | 2021 |
| 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 | 25 | 2015 |
| 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 | 24 | 2013 |
Lukasz KurganComputer Science, Virginia Commonwealth University在 vcu.edu 的电子邮件经过验证
