ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides
Rao, Bing, Zhou, Chen, Zhang, Guoying, Su, Ran, Wei, Leyi
Published in Briefings in bioinformatics (01.09.2020)
Published in Briefings in bioinformatics (01.09.2020)
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Journal Article
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework
Wei, Leyi, He, Wenjia, Malik, Adeel, Su, Ran, Cui, Lizhen, Manavalan, Balachandran
Published in Briefings in bioinformatics (01.07.2021)
Published in Briefings in bioinformatics (01.07.2021)
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Journal Article
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools
Su, Ran, Hu, Jie, Zou, Quan, Manavalan, Balachandran, Wei, Leyi
Published in Briefings in bioinformatics (23.03.2020)
Published in Briefings in bioinformatics (23.03.2020)
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Journal Article
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
Manavalan, Balachandran, Basith, Shaherin, Shin, Tae Hwan, Wei, Leyi, Lee, Gwang
Published in Bioinformatics (Oxford, England) (15.08.2019)
Published in Bioinformatics (Oxford, England) (15.08.2019)
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Journal Article
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
Wei, Leyi, Luan, Shasha, Nagai, Luis Augusto Eijy, Su, Ran, Zou, Quan
Published in Bioinformatics (15.04.2019)
Published in Bioinformatics (15.04.2019)
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Journal Article
Iterative feature representations improve N4-methylcytosine site prediction
Wei, Leyi, Su, Ran, Luan, Shasha, Liao, Zhijun, Manavalan, Balachandran, Zou, Quan, Shi, Xiaolong
Published in Bioinformatics (01.12.2019)
Published in Bioinformatics (01.12.2019)
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Journal Article