André Leier
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iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
Z Chen, P Zhao, F Li, A Leier, TT Marquez-Lago, Y Wang, GI Webb, ...
Bioinformatics 34 (14), 2499-2502, 2018
Cryptography with DNA binary strands
A Leier, C Richter, W Banzhaf, H Rauhe
Biosystems 57 (1), 13-22, 2000
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
Z Chen, P Zhao, F Li, TT Marquez-Lago, A Leier, J Revote, Y Zhu, ...
Briefings in bioinformatics 21 (3), 1047-1057, 2020
Oscillatory regulation of Hes1: discrete stochastic delay modelling and simulation
M Barrio, K Burrage, A Leier, T Tian
PLoS computational biology 2 (9), e117, 2006
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles
J Wang, B Yang, J Revote, A Leier, TT Marquez-Lago, G Webb, J Song, ...
Bioinformatics 33 (17), 2756-2758, 2017
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome
F Li, C Li, TT Marquez-Lago, A Leier, T Akutsu, AW Purcell, A Ian Smith, ...
Bioinformatics 34 (24), 4223-4231, 2018
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
J Song, F Li, A Leier, TT Marquez-Lago, T Akutsu, G Haffari, KC Chou, ...
Bioinformatics 34 (4), 684-687, 2018
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction
S Mei, F Li, A Leier, TT Marquez-Lago, K Giam, NP Croft, T Akutsu, ...
Briefings in bioinformatics 21 (4), 1119-1135, 2020
Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence
PD Kuo, W Banzhaf, A Leier
Biosystems 85 (3), 177-200, 2006
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors
J Wang, B Yang, A Leier, TT Marquez-Lago, M Hayashida, A Rocker, ...
Bioinformatics 34 (15), 2546-2555, 2018
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters
M Zhang, F Li, TT Marquez-Lago, A Leier, C Fan, CK Kwoh, KC Chou, ...
Bioinformatics 35 (17), 2957-2965, 2019
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites
F Li, J Chen, A Leier, T Marquez-Lago, Q Liu, Y Wang, J Revote, AI Smith, ...
Bioinformatics 36 (4), 1057-1065, 2020
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites
Z Chen, X Liu, F Li, C Li, T Marquez-Lago, A Leier, T Akutsu, GI Webb, ...
Briefings in bioinformatics 20 (6), 2267-2290, 2019
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework
Y Zhang, R Xie, J Wang, A Leier, TT Marquez-Lago, T Akutsu, GI Webb, ...
Briefings in bioinformatics 20 (6), 2185-2199, 2019
PhosphoPredict: a bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection
J Song, H Wang, J Wang, A Leier, T Marquez-Lago, B Yang, Z Zhang, ...
Scientific reports 7 (1), 6862, 2017
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods
F Li, Y Wang, C Li, TT Marquez-Lago, A Leier, ND Rawlings, G Haffari, ...
Briefings in bioinformatics 20 (6), 2150-2166, 2019
Procleave: predicting protease-specific substrate cleavage sites by combining sequence and structural information
F Li, A Leier, Q Liu, Y Wang, D Xiang, T Akutsu, GI Webb, AI Smith, ...
Genomics, Proteomics and Bioinformatics 18 (1), 52-64, 2020
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides
J Xu, F Li, A Leier, D Xiang, HH Shen, TT Marquez Lago, J Li, DJ Yu, ...
Briefings in bioinformatics 22 (5), bbab083, 2021
Bastion3: a two-layer ensemble predictor of type III secreted effectors
J Wang, J Li, B Yang, R Xie, TT Marquez-Lago, A Leier, M Hayashida, ...
Bioinformatics 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, ...
Briefings in bioinformatics 20 (3), 931-951, 2019
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