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Reagents
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Single-Cell Multiomics Reagents
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- BD® OMICS-One Protein Panels
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Functional Assays
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Cell Preparation and Separation Reagents
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Dehydrated Culture Media
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Training
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Advanced Training
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Product-Based Training
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- BD FACSymphony™ Cell Analyzer
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- BD FACSDiscover™ S8 Cell Sorter
- BD FACSDiscover™ A8 Cell Analyzer
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References
1. Roohani YH, Hua TJ, Tung PY, Bounds LR, Yu FB, Dobin A, Teyssier N, Adduri A, Woodrow A, Plosky BS, Mehta R, Hsu B, Sullivan J, Ricci-Tam C, Li N, Kazaks J, Gilbert LA, Konermann S, Hsu PD, Goodarzi H, Burke DP. Virtual Cell Challenge: Toward a Turing test for the virtual cell. Cell. 2025; Jun 26;188(13):3370-3374. doi: 10.1016/j.cell.2025.06.008.
2. Lotfollahi, M., Naghipourfar, M., Luecken, M.D. et al. Mapping single-cell data to reference atlases by transfer learning. Nat Biotechnol. 2022;40, 121–130. https://doi.org/10.1038/s41587-021-01001-7
3. Gayoso, A., Steier, Z., Lopez, R. et al. Joint probabilistic modeling of single-cell multi-omic data with totalVI. Nat Methods. 2021; 18, 272–282. https://doi.org/10.1038/s41592-020-01050-x
4. Ashuach, T., Gabitto, M.I., Koodli, R.V. et al. MultiVI: deep generative model for the integration of multimodal data. Nat Methods. 2023; 20, 1222–1231. https://doi.org/10.1038/s41592-023-01909-9
5. Gayoso A, Lopez R, Xing G, Boyeau P, Amiri Discover Day of education, et al. Nature Biotechnology 2022 Feb 07. doi: 10.1038/s41587-021-01206-w
6. Virshup I , Bredikhin D, Heumos L, Palla G, Sturm G, et al. Nature Biotechnology. 2023; Apr 10. doi: 10.1038/s41587-023-01733-8
7. Cui, H., Maan, H., Vladoiu, M.C. et al. DeepVelo: deep learning extends RNA velocity to multi-lineage systems with cell-specific kinetics. Genome Biol 25, 27 (2024). https://doi.org/10.1186/s13059-023-03148-9
8. Lotfollahi, M., Wolf, F.A. & Theis, F.J. scGen predicts single-cell perturbation responses. Nat Methods. 2019; 16, 715–721. https://doi.org/10.1038/s41592-019-0494-8
9. Biancalani, T., Scalia, G., Buffoni, L. et al. Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram. Nat Methods. 2021; 18, 1352–1362. https://doi.org/10.1038/s41592-021-01264-7
10. Pearce JD, Sara Simmonds ES, Mahmoudabadi G, Krishnan L, Palla G, et al. A cross-species generative cell atlas across 1.5 billion years of evolution: the transcriptformer single-cell. Model.bioRxiv 2025;04.25.650731. doi: https://doi.org/10.1101/2025.04.25.650731
11. Cui, H., Wang, C., Maan, H. et al. scGPT: Toward building a foundation model for single-cell multi-omics using generative AI. Nat Methods. 2024; 21, 1470–1480 (2024). https://doi.org/10.1038/s41592-024-02201-0
12. Youngblut ND, Carpenter C, Prashar J, Ricci-Tam C, Ilango R, et al.
scBaseCamp: an AI agent-curated, uniformly processed, and continually expanding single cell data repository. bioRxiv 2025; 02.27.640494; doi: https://doi.org/10.1101/2025.02.27.640494