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Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.

J. Xu, F. Li, A. Leier, D. Xiang, H. Shen, T. Marquez-Lago, J. Li, D. Yu, and J. Song. Briefings Bioinform., (2021)

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Jiangning Gao

Song Song

Song-Hak Song-Schreff

Song Gao

Other publications of authors with the same name

Bioinformatics approaches for improved recombinant protein production in Escherichia coli: protein solubility prediction.C. Chang, J. Song, B. Tey, and R. Ramanan. Briefings Bioinform., 15 (6): 953-962 (2014)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)SAResNet: self-attention residual network for predicting DNA-protein binding.L. Shen, Y. Liu, J. Song, and D. Yu. Briefings Bioinform., (2021)Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.J. Wang, B. Yang, Y. An, T. Marquez-Lago, A. Leier, J. Wilksch, Q. Hong, Y. Zhang, M. Hayashida, T. Akutsu and 4 other author(s). Briefings Bioinform., 20 (3): 931-951 (2019)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)Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification.Z. Wang, Y. Bi, T. Pan, X. Wang, C. Bain, R. Bassed, S. Imoto, J. Yao, R. Daly, and J. Song. Bioinform., (March 2023)Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey.H. Chen, J. Song, G. Sun, J. Shen, and L. Wang. BigData Congress, page 177-184. IEEE Computer Society, (2017)Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning.Y. Xu, A. Leier, T. Marquez-Lago, J. Xie, A. Jimeno-Yepes, J. Whisstock, C. Wilson, and J. Song. AMIA, AMIA, (2020)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)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)

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Disambiguation of "Song, Jiangning"

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Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.

Please choose a person to relate this publication to

Jiangning Gao

Song Song

Song Song

Song-Hak Song-Schreff

Song Gao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Song, Jiangning"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.

Please choose a person to relate this publication to

Jiangning Gao

Song Song

Song Song

Song-Hak Song-Schreff

Song Gao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.