CaDenseNet: a novel deep learning approach using capsule network with attention for the identification of HIV-1 integration site
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08585-y.pdf
Reference50 articles.
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3. Huang AS et al (2021) Integration features of intact latent HIV-1 in CD4+ T cell clones contribute to viral persistence. J Exp Med 218(12):e20211427. https://doi.org/10.1084/jem.20211427
4. Patro SC et al (2019) Combined HIV-1 sequence and integration site analysis informs viral dynamics and allows reconstruction of replicating viral ancestors. Proc Natl Acad Sci 116(51):25891–25899. https://doi.org/10.1073/pnas.1910334116
5. Wong JK et al (1997) Recovery of replication-competent HIV despite prolonged suppression of plasma viremia. Science 278(5341):1291–1295
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