Adelaide Research & Scholarship: Search

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Preview	Issue Date	Title	Author(s)
	2021	Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling	Jia, C.; Zhang, M.; Fan, C.; Li, F.; Song, J.
	2021	Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules	Mei, S.; Li, F.; Xiang, D.; Ayala, R.; Faridi, P.; Webb, G.I.; Illing, P.T.; Rossjohn, J.; Akutsu, T.; Croft, N.P.; Purcell, A.W.; Song, J.
	2021	Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification	Liang, X.; Li, F.; Chen, J.; Li, J.; Wu, H.; Li, S.; Song, J.; Liu, Q.
	2021	Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks	Zhu, Y.; Li, F.; Xiang, D.; Akutsu, T.; Song, J.; Jia, C.
	2021	DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites	Liu, Q.; Chen, J.; Wang, Y.; Li, S.; Jia, C.; Song, J.; Li, F.
	2021	iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization	Chen, Z.; Zhao, P.; Li, C.; Li, F.; Xiang, D.; Chen, Y.-Z.; Akutsu, T.; Daly, R.J.; Webb, G.I.; Zhao, Q.; Kurgan, L.; Song, J.
	2021	Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework	Li, F.; Chen, J.; Ge, Z.; Wen, Y.; Yue, Y.; Hayashida, M.; Baggag, A.; Bensmail, H.; Song, J.
	2021	Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features	Zhu, Y.-H.; Hu, J.; Ge, F.; Li, F.; Song, J.; Zhang, Y.; Yu, D.-J.
	2021	A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction	Li, M.; Wang, Y.; Li, F.; Zhao, Y.; Liu, M.; Zhang, S.; Bin, Y.; Smith, A.I.; Webb, G.I.; Li, J.; Song, J.; Xia, J.
	2021	DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases	Wang, Y.; Li, F.; Bharathwaj, M.; Rosas, N.C.; Leier, A.; Akutsu, T.; Webb, G.I.; Marquez-Lago, T.T.; Li, J.; Lithgow, T.; Song, J.