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Results 1-10 of 12 (Search time: 0.002 seconds).
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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.
Discover
Author
12
Song, J.
5
Xiang, D.
4
Akutsu, T.
4
Chen, J.
4
Li, J.
4
Webb, G.I.
3
Jia, C.
3
Wang, Y.
2
Leier, A.
2
Li, S.
.
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Subject
8
Computational Biology
5
Algorithms
5
Machine Learning
5
Software
4
Humans
3
Databases, Protein
3
Deep Learning
2
Amino Acid Sequence
2
Animals
2
Bacteria
.
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