Exploring subcellular location anomalies: a novel quantum bioimaging paradigm
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11082-023-06272-9.pdf
Reference31 articles.
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3. Chou, K.C.: Advances in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs. Curr. Med. Chem. 26(26), 4918–4943 (2019). https://doi.org/10.2174/0929867326666190507082559
4. Donovan-Maiye, R.M., Brown, J.M., Chan, C.K., Ding, L., Yan, C., Gaudreault, N., Theriot, J.A., Maleckar, M.M., Knijnenburg, T.A., Johnson, G.R.: A deep generative model of 3D single-cell organization. PLoS Comput. Biol. 18(1), e1009155 (2022). https://doi.org/10.1371/journal.pcbi.1009155
5. Du, L., Meng, Q., Chen, Y., Wu, P.: Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA. BMC Bioinform. 21, 1–19 (2020). https://doi.org/10.1186/s12859-020-3539-1
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