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Bastion3: a two-layer ensemble predictor of type III secreted effectors.

J. Wang, J. Li, B. Yang, R. Xie, T. Marquez-Lago, A. Leier, M. Hayashida, T. Akutsu, Y. Zhang, K. Chou, J. Selkrig, T. Zhou, J. Song, and T. Lithgow. Bioinform., 35 (12): 2017-2028 (2019)

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André Leier

Brigitte Leier

Inka Leier

Helmut Leier

Horst Leier

Other publications of authors with the same name

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)BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data.J. Chen, F. Li, M. Wang, J. Li, T. Marquez-Lago, A. Leier, J. Revote, S. Li, Q. Liu, and J. Song. Frontiers Big Data, (2021)BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria.J. Wang, J. Li, Y. Hou, W. Dai, R. Xie, T. Marquez-Lago, A. Leier, T. Zhou, V. Torres, I. Hay and 4 other author(s). Nucleic Acids Res., 49 (Database-Issue): D651-D659 (2021)PhosTransfer: A Deep Transfer Learning Framework for Kinase-Specific Phosphorylation Site Prediction in Hierarchy.Y. Xu, C. Wilson, A. Leier, T. Marquez-Lago, J. Whisstock, and J. Song. PAKDD (2), volume 12085 of Lecture Notes in Computer Science, page 384-395. Springer, (2020)PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs.C. Jia, Y. Bi, J. Chen, A. Leier, F. Li, and J. Song. Bioinform., 36 (15): 4276-4282 (2020)PROSPECT: A web server for predicting protein histidine phosphorylation sites.Z. Chen, P. Zhao, F. Li, A. Leier, T. Marquez-Lago, G. Webb, A. Baggag, H. Bensmail, and J. Song. J. Bioinform. Comput. Biol., 18 (4): 2050018:1-2050018:17 (2020)DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.R. Xie, J. Li, J. Wang, W. Dai, A. Leier, T. Marquez-Lago, T. Akutsu, T. Lithgow, J. Song, and Y. Zhang. Briefings Bioinform., (2021)Bastion3: a two-layer ensemble predictor of type III secreted effectors.J. Wang, J. Li, B. Yang, R. Xie, T. Marquez-Lago, A. Leier, M. Hayashida, T. Akutsu, Y. Zhang, K. Chou and 4 other author(s). Bioinform., 35 (12): 2017-2028 (2019)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)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)

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Disambiguation of "Leier, André"

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Bastion3: a two-layer ensemble predictor of type III secreted effectors.

Please choose a person to relate this publication to

André Leier

Brigitte Leier

Inka Leier

Helmut Leier

Horst Leier

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Leier, André"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Bastion3: a two-layer ensemble predictor of type III secreted effectors.

Please choose a person to relate this publication to

André Leier

Brigitte Leier

Inka Leier

Helmut Leier

Horst Leier

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Bastion3: a two-layer ensemble predictor of type III secreted effectors.