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AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fas..:
Raza, Ali
;
Uddin, Jamal
;
Almuhaimeed, Abdullah
...
Journal of Chemical Information and Modeling. 63 (2023) 21 - p. 6537-6554 , 2023
Link:
https://doi.org/10.1021/acs.jcim.3c01563
RT Journal T1 <Title>AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jcim.3c01563&Exemplar=1&LAN=DE A1 Raza, Ali A1 Uddin, Jamal A1 Almuhaimeed, Abdullah A1 Akbar, Shahid A1 Zou, Quan A1 Ahmad, Ashfaq PB American Chemical Society (ACS) YR 2023 SN 1549-9596 SN 1549-960X JF Journal of Chemical Information and Modeling VO 63 IS 21 SP 6537 OP 6554 LK http://dx.doi.org/https://doi.org/10.1021/acs.jcim.3c01563 DO https://doi.org/10.1021/acs.jcim.3c01563 SF ELIB - SuUB Bremen
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