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Yao, Lantian, Xie, Peilin, Guan, Jiahui, Chung, Chia-Ru, Huang, Yixian, Pang, Yuxuan, Wu, Huacong, Chiang, Ying-Chih, Lee, Tzong-Yi (2024) CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network. Journal of Chemical Information and Modeling, 64 (14) 5725-5736 doi:10.1021/acs.jcim.4c00546

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Reference TypeJournal (article/letter/editorial)
TitleCapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network
JournalJournal of Chemical Information and Modeling
AuthorsYao, LantianAuthor
Xie, PeilinAuthor
Guan, JiahuiAuthor
Chung, Chia-RuAuthor
Huang, YixianAuthor
Pang, YuxuanAuthor
Wu, HuacongAuthor
Chiang, Ying-ChihAuthor
Lee, Tzong-YiAuthor
Year2024 (July 22)Volume64
Page(s)5725-5736Issue14
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.jcim.4c00546Search in ResearchGate
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Mindat Ref. ID17506003Long-form Identifiermindat:1:5:17506003:2
GUID0
Full ReferenceYao, Lantian, Xie, Peilin, Guan, Jiahui, Chung, Chia-Ru, Huang, Yixian, Pang, Yuxuan, Wu, Huacong, Chiang, Ying-Chih, Lee, Tzong-Yi (2024) CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network. Journal of Chemical Information and Modeling, 64 (14) 5725-5736 doi:10.1021/acs.jcim.4c00546
Plain TextYao, Lantian, Xie, Peilin, Guan, Jiahui, Chung, Chia-Ru, Huang, Yixian, Pang, Yuxuan, Wu, Huacong, Chiang, Ying-Chih, Lee, Tzong-Yi (2024) CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network. Journal of Chemical Information and Modeling, 64 (14) 5725-5736 doi:10.1021/acs.jcim.4c00546
In(2024, July) Journal of Chemical Information and Modeling Vol. 64 (14) American Chemical Society (ACS)

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Guan, Jiahui, Yao, Lantian, Chung, Chia-Ru, Xie, Peilin, Zhang, Yilun, Deng, Junyang, Chiang, Ying-Chih, Lee, Tzong-Yi (2023) Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning. Journal of Chemical Information and Modeling, 63 (24) 7886-7898 doi:10.1021/acs.jcim.3c01602
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