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A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.

M. Li, Y. Wang, F. Li, Y. Zhao, M. Liu, S. Zhang, Y. Bin, A. Smith, G. Webb, J. Li, J. Song, and J. Xia. IEEE ACM Trans. Comput. Biol. Bioinform., 18 (5): 1801-1810 (2021)

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Li Li

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Prediction of Multiple Types of RNA Modifications via Biological Language Model.Y. Zhang, F. Ge, F. Li, X. Yang, J. Song, and D. Yu. IEEE ACM Trans. Comput. Biol. Bioinform., 20 (5): 3205-3214 (September 2023)Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features.Y. Zhu, J. Hu, F. Ge, F. Li, J. Song, Y. Zhang, and D. Yu. Briefings Bioinform., (2021)PmxPred: A data-driven approach for the identification of active polymyxin analogues against gram-negative bacteria.X. Wang, N. Patil, F. Li, Z. Wang, H. Zhan, D. Schmidt, P. Thompson, Y. Guo, C. Landersdorfer, H. Shen and 3 other author(s). Comput. Biol. Medicine, (January 2024)Characterizing Secretion System Effector Proteins With Structure-Aware Graph Neural Networks and Pre-Trained Language Models.Z. Ran, C. Wang, H. Sun, S. Pan, and F. Li. IEEE J. Biomed. Health Informatics, 28 (9): 5649-5657 (September 2024)ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning.X. Wang, F. Li, J. Xu, J. Rong, G. Webb, Z. Ge, J. Li, and J. Song. Briefings Bioinform., (2022)iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets.Z. Chen, X. Liu, P. Zhao, C. Li, Y. Wang, F. Li, T. Akutsu, C. Bain, R. Gasser, J. Li and 4 other author(s). Nucleic Acids Res., 50 (W1): 434-447 (2022)Existence of multiple positive solutions to nonhomogeneous Schrödinger-Poisson system.Q. Zhang, F. Li, and Z. Liang. Appl. Math. Comput., (2015)ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learning.X. Jia, P. Zhao, F. Li, Z. Qin, H. Ren, J. Li, C. Miao, Q. Zhao, T. Akutsu, G. Dou and 2 other author(s). Briefings Bioinform., (March 2023)iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.J. Xu, F. Li, C. Li, X. Guo, C. Landersdorfer, H. Shen, A. Peleg, J. Li, S. Imoto, J. Yao and 2 other author(s). Briefings Bioinform., (July 2023)ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species.R. Chen, F. Li, X. Guo, Y. Bi, C. Li, S. Pan, L. Coin, and J. Song. Briefings Bioinform., (May 2023)

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Disambiguation of "Li, Fuyi"

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A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Fuyi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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URL
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A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.