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A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning

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Data preparationData collectionA good dataset can provide rich and diverse samples for the deep learning model, so that the model can learn more generalized...
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Primiparous sow behaviour on the day of farrowing as one of the primary contributors to the growth of piglets in early lactation

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Milligan, B. N., Fraser, D. & Kramer, D. L. Within-litter birth weight variation in the domestic pig and its relation to pre-weaning survival, weight...
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Modelling HIV-1 control and remission

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Bekker, L. G. et al. HIV infection. Nat. Rev. Dis. Prim. 9, 42, https://doi.org/10.1038/s41572-023-00452-3 (2023).Article  PubMed  ...
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scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data | BMC Bioinformatics

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scMaui model descriptionVariational product-of-experts autoencodersscMaui assigns a pair of encoder and decoder to each modality as illustrated in Fig. 1, so that assay-specific features can...
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High-throughput image processing software for the study of nuclear architecture and gene expression

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siRNA oligos transfection and immunofluorescenceHCT116-Cas9 cells46 were grown in RPMI-1640 medium (ATCC, Cat. No. 30-2001) supplemented with 10% fetal bovine serum (FBS, Gibco, Cat....
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