Attentionxml: Label tree-based attention-aware deep model for high-performance extreme multi-label text classification R You, Z Zhang, Z Wang, S Dai, H Mamitsuka, S Zhu Advances in neural information processing systems 32, 2019 | 411* | 2019 |
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019 | 402 | 2019 |
Critical assessment of metagenome interpretation: the second round of challenges F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker, A Gurevich, G Robertson, ... Nature methods 19 (4), 429-440, 2022 | 250 | 2022 |
GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank R You, Z Zhang, Y Xiong, F Sun, H Mamitsuka, S Zhu Bioinformatics 34 (14), 2465-2473, 2018 | 176 | 2018 |
DeepMeSH: deep semantic representation for improving large-scale MeSH indexing S Peng, R You, H Wang, C Zhai, H Mamitsuka, S Zhu Bioinformatics 32 (12), i70-i79, 2016 | 139 | 2016 |
NetGO: improving large-scale protein function prediction with massive network information R You, S Yao, Y Xiong, X Huang, F Sun, H Mamitsuka, S Zhu Nucleic acids research 47 (W1), W379-W387, 2019 | 126 | 2019 |
DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction R You, S Yao, H Mamitsuka, S Zhu Bioinformatics 37 (Supplement_1), i262-i271, 2021 | 93 | 2021 |
DeepText2GO: improving large-scale protein function prediction with deep semantic text representation R You, X Huang, S Zhu Methods 145, 82-90, 2018 | 85 | 2018 |
NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information S Yao, R You, S Wang, Y Xiong, X Huang, S Zhu Nucleic acids research 49 (W1), W469-W475, 2021 | 80 | 2021 |
FullMeSH: improving large-scale MeSH indexing with full text S Dai, R You, Z Lu, X Huang, H Mamitsuka, S Zhu Bioinformatics 36 (5), 1533-1541, 2020 | 47 | 2020 |
BERTMeSH: deep contextual representation learning for large-scale high-performance MeSH indexing with full text R You, Y Liu, H Mamitsuka, S Zhu Bioinformatics 37 (5), 684-692, 2021 | 44 | 2021 |
Cache-oblivious wavefront: improving parallelism of recursive dynamic programming algorithms without losing cache-efficiency Y Tang, R You, H Kan, JJ Tithi, P Ganapathi, RA Chowdhury Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of …, 2015 | 42 | 2015 |
DeepDock: enhancing ligand-protein interaction prediction by a combination of ligand and structure information Z Liao, R You, X Huang, X Yao, T Huang, S Zhu 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 38 | 2019 |
NetGO 3.0: protein language model improves large-scale functional annotations S Wang, R You, Y Liu, Y Xiong, S Zhu Genomics, Proteomics & Bioinformatics 21 (2), 349-358, 2023 | 36 | 2023 |
The fudan participation in the 2015 bioasq challenge: Large-scale biomedical semantic indexing and question answering Y Zhang, S Peng, R You, Z Xie, B Wang, S Zhu CEUR Workshop Proceedings 1391, 2015 | 35 | 2015 |
MetaBinner: a high-performance and stand-alone ensemble binning method to recover individual genomes from complex microbial communities Z Wang, P Huang, R You, F Sun, S Zhu Genome Biology 24 (1), 1, 2023 | 31 | 2023 |
ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network Z Wang, S Li, R You, S Zhu, XJ Zhou, F Sun NAR Genomics and Bioinformatics 3 (3), lqab066, 2021 | 18 | 2021 |
DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction R You, W Qu, H Mamitsuka, S Zhu Bioinformatics 38 (Supplement_1), i220-i228, 2022 | 17 | 2022 |
PLMSearch: Protein language model powers accurate and fast sequence search for remote homology W Liu, Z Wang, R You, C Xie, H Wei, Y Xiong, J Yang, S Zhu Nature communications 15 (1), 2775, 2024 | 14 | 2024 |
HAXMLNet: Hierarchical attention network for extreme multi-label text classification R You, Z Zhang, S Dai, S Zhu arXiv preprint arXiv:1904.12578, 2019 | 12 | 2019 |