Author of the publication

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.

, , , , , , , , , , , , and . Briefings Bioinform., 20 (6): 2267-2290 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data., , , , , , , , , and . Frontiers Big Data, (2021)Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides., , , , , , , , and . Briefings Bioinform., (2021)BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria., , , , , , , , , and 4 other author(s). Nucleic Acids Res., 49 (Database-Issue): D651-D659 (2021)Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods., , , , , , , , , and 8 other author(s). Briefings Bioinform., 20 (6): 2150-2166 (2019)Large-scale comparative assessment of computational predictors for lysine post-translational modification sites., , , , , , , , , and 3 other author(s). Briefings Bioinform., 20 (6): 2267-2290 (2019)Bastion3: a two-layer ensemble predictor of type III secreted effectors., , , , , , , , , and 4 other author(s). Bioinform., 35 (12): 2017-2028 (2019)iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data., , , , , , , , , and 5 other author(s). Briefings Bioinform., 21 (3): 1047-1057 (2020)Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework., , , , , , , , and . Briefings Bioinform., 20 (6): 2185-2199 (2019)Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information., , , , , , , , , and 1 other author(s). Genom. Proteom. Bioinform., 18 (1): 52-64 (2020)Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches., , , , , , , , , and 4 other author(s). Briefings Bioinform., 20 (3): 931-951 (2019)