Shanfeng Zhu
Shanfeng Zhu
Professor, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
Потвърден имейл адрес: fudan.edu.cn - Начална страница
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
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
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
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
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
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
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
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
Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity
S Zhu, J Zeng, H Mamitsuka
Bioinformatics 25 (15), 1944-1951, 2009
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
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
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
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
Towards accurate human promoter recognition: a review of currently used sequence features and classification methods
J Zeng, S Zhu, H Yan
Briefings in bioinformatics 10 (5), 498-508, 2009
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
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
Improving stock market prediction by integrating both market news and stock prices
X Li, C Wang, J Dong, F Wang, X Deng, S Zhu
International Conference on Database and Expert Systems Applications, 279-293, 2011
Machine learning competition in immunology–Prediction of HLA class I binding peptides
GL Zhang, HR Ansari, P Bradley, GC Cawley, T Hertz, X Hu, N Jojic, ...
Journal of immunological methods 374 (1-2), 1-4, 2011
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
Efficient Semisupervised MEDLINE Document Clustering With MeSH-Semantic and Global-Content Constraints
J Gu, W Feng, J Zeng, H Mamitsuka, S Zhu
IEEE T. Cybernetics 43 (4), 1265-1276, 2013
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