| 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 | 493 | 2020 |
| 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 | 413 | 2015 |
| Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 274 | 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 | 226 | 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 | 186 | 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 | 173 | 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 | 138 | 2020 |
| 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 | 120 | 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 | 114 | 2017 |
| Sequence similarity searching G Hu, L Kurgan Current protocols in protein science 95 (1), e71, 2019 | 87 | 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 | 62 | 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 | 59 | 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 | 51 | 2015 |
| 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 | 47 | 2016 |
| 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 | 47 | 2014 |
| 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 | 44 | 2021 |
| 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 | 42 | 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 | 39 | 2016 |
| Targeted activation of ferroptosis in colorectal cancer via LGR4 targeting overcomes acquired drug resistance H Zheng, J Liu, Q Cheng, Q Zhang, Y Zhang, L Jiang, Y Huang, W Li, ... Nature Cancer, 1-18, 2024 | 29 | 2024 |
| CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins A Del Conte, A Bouhraoua, M Mehdiabadi, D Clementel, AM Monzon, ... Nucleic Acids Research 51 (W1), W62-W69, 2023 | 29 | 2023 |
Lukasz KurganComputer Science, Virginia Commonwealth UniversityVerified email at vcu.edu
