| Similarity-based machine learning methods for predicting drug–target interactions: a brief review H Ding, I Takigawa, H Mamitsuka, S Zhu Briefings in bioinformatics 15 (5), 734-747, 2014 | 479 | 2014 |
| 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 NeurIPS 2019, 5812-5822, 2019 | 433* | 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), 1-23, 2019 | 428 | 2019 |
| Collaborative matrix factorization with multiple similarities for predicting drug-target interactions X Zheng, H Ding, H Mamitsuka, S Zhu Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 387 | 2013 |
| 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 | 267 | 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 | 183 | 2018 |
| Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools L Zhang, K Udaka, H Mamitsuka, S Zhu Briefings in bioinformatics 13 (3), 350-364, 2012 | 159 | 2012 |
| DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank Q Yuan, J Gao, D Wu, S Zhang, H Mamitsuka, S Zhu Bioinformatics 32 (12), i18-i27, 2016 | 145 | 2016 |
| 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 | 140 | 2016 |
| TEPITOPEpan: extending TEPITOPE for peptide binding prediction covering over 700 HLA-DR molecules L Zhang, Y Chen, HS Wong, S Zhou, H Mamitsuka, S Zhu PLoS One 7 (2), e30483, 2012 | 138 | 2012 |
| 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 | 134 | 2019 |
| A probabilistic model for mining implicit ‘chemical compound–gene’relations from literature S Zhu, Y Okuno, G Tsujimoto, H Mamitsuka Bioinformatics 21 (suppl_2), ii245-ii251, 2005 | 130 | 2005 |
| Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity S Zhu, J Zeng, H Mamitsuka Bioinformatics 25 (15), 1944-1951, 2009 | 117 | 2009 |
| 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 | 102 | 2021 |
| 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 | 91 | 2021 |
| DeepText2Go: Improving large-scale protein function prediction with deep semantic text representation R You, X Huang, S Zhu Methods 145, 82-90, 2018 | 91 | 2018 |
| Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease GI Allen, N Amoroso, C Anghel, V Balagurusamy, CJ Bare, D Beaton, ... Alzheimer's & Dementia 12 (6), 645-653, 2016 | 89 | 2016 |
| Does summarization help stock prediction? A news impact analysis X Li, H Xie, Y Song, S Zhu, Q Li, FL Wang IEEE intelligent systems 30 (3), 26-34, 2015 | 88 | 2015 |
| Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information X Li, X Huang, X Deng, S Zhu Neurocomputing 142, 228-238, 2014 | 88 | 2014 |
| MeSHLabeler: improving the accuracy of large-scale MeSH indexing by integrating diverse evidence K Liu, S Peng, J Wu, C Zhai, H Mamitsuka, S Zhu Bioinformatics 31 (12), i339-i347, 2015 | 83 | 2015 |
Ronghui YouFudan Universityfudan.edu.cn의 이메일 확인됨
