1. Adelaide Research & Scholarship

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Results 1-10 of 13 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2016GlycoMinestruct : A new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural featuresLi, F.; Li, C.; Revote, J.; Zhang, Y.; Webb, G.I.; Li, J.; Song, J.; Lithgow, T.
2021Computational methods for cancer driver discovery: A surveyPham, V.V.H.; Liu, L.; Bracken, C.; Goodall, G.; Li, J.; Le, T.D.
2022ASPIRER: A new computational approach for identifying non-classical secreted proteins based on deep learningWang, X.; Li, F.; Xu, J.; Rong, J.; Webb, G.I.; Ge, Z.; Li, J.; Song, J.
2018A data-driven method to detect adverse drug events from prescription dataZhan, C.; Roughead, E.; Liu, L.; Pratt, N.; Li, J.
2019CBNA: a control theory based method for identifying coding and non-coding cancer driversPham, V.V.H.; Liu, L.; Bracken, C.P.; Goodall, G.J.; Long, Q.; Li, J.; Le, T.D.; Ioshikhes, I.
2014MicroRNA related polymorphisms and breast cancer riskKhan, S.; Greco, D.; Michailidou, K.; Milne, R.; Muranen, T.; Heikkinen, T.; Aaltonen, K.; Dennis, J.; Bolla, M.; Liu, J.; Hall, P.; Irwanto, A.; Humphreys, K.; Li, J.; Czene, K.; Chang-Claude, J.; Hein, R.; Rudolph, A.; Seibold, P.; Flesch-Janys, D.; et al.; Zhao, Z.
2019A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding predictionMei, S.; Li, F.; Leier, A.; Marquez-Lago, T.T.; Giam, K.; Croft, N.P.; Akutsu, T.; Ian Smith, A.; Li, J.; Rossjohn, J.; Purcell, A.W.; Song, J.
2022iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data setsChen, Z.; Liu, X.; Zhao, P.; Li, C.; Wang, Y.; Li, F.; Akutsu, T.; Bain, C.; Gasser, R.B.; Li, J.; Yang, Z.; Gao, X.; Kurgan, L.; Song, J.
2021A Deep Learning-Based Method for Identification of Bacteriophage-Host InteractionLi, 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.
2021DeepBL: a deep learning-based approach for in silico discovery of beta-lactamasesWang, 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.

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