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Results 11-17 of 17 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
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.
2015Rational design of photonic dust from nanoporous anodic alumina films: a versatile photonic nanotool for visual sensingChen, Y.; Santos, A.; Wang, Y.; Kumeria, T.; Ho, D.; Li, J.; Wang, C.; Losic, D.
2015Interferometric nanoporous anodic alumina photonic coatings for optical sensingChen, Y.; Santos, A.; Wang, Y.; Kumeria, T.; Wang, C.; Li, J.; Losic, D.
2015Biomimetic nanoporous anodic alumina distributed Bragg reflectors in the form of films and microsized particles for sensing applicationsChen, Y.; Santos, A.; Wang, Y.; Kumeria, T.; Li, J.; Wang, C.; Losic, D.
2020Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural InformationLi, F.; Leier, A.; Liu, Q.; Wang, Y.; Xiang, D.; Akutsu, T.; Webb, G.I.; Smith, A.I.; Marquez-Lago, T.; Li, J.; Song, J.
2015Qingdao port cardiovascular health study: a prospective cohort studySpatz, E.S.; Jiang, X.; Lu, J.; Masoudi, F.A.; Spertus, J.A.; Wang, Y.; Li, X.; Downing, N.S.; Nasir, K.; Du, X.; Li, J.; Krumholz, H.M.; Liu, X.; Jiang, L.