Prediction of Protein Subcellular Localization

Displaying 1 - 6 of 6CSV
Cavalleri, E., Cabri, A., Soto-Gomez, M., Bonfitto, S., Perlasca, P., Gliozzo, J., Callahan, T. J., Reese, J., Robinson, P. N., Casiraghi, E., Valentini, G., & Mesiti, M. (2024). An ontology-based knowledge graph for representing interactions involving RNA molecules. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03673-7
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Liu, M., Xu, B., Honfo, S., Cohen, A., & Picard, M. (2023). REPRESENTATION LEARNING OF PROTEOME DYNAMICS TO CHARACTERIZE ORGANISMIC COMMUNICATION AND INTRINSIC HEALTH. Innovation in Aging, 7(Supplement_1), 35–35. https://doi.org/10.1093/geroni/igad104.0116
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Citterio, C. E., Kim, K., Rajesh, B., Pena, K., Clarke, O. B., & Arvan, P. (2023). OR14-01 Contact Between Thyroglobulin Opposite Domains Assists Its Upstream Regions In Intracellular Trafficking For Thyroid Hormonogenesis. Journal of the Endocrine Society, 7(Supplement_1). https://doi.org/10.1210/jendso/bvad114.1917
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Lahti, J., Tuominen, S., Yang, Q., Pergola, G., Ahmad, S., Amin, N., Armstrong, N. J., Beiser, A., Bey, K., Bis, J. C., Boerwinkle, E., Bressler, J., Campbell, A., Campbell, H., Chen, Q., Corley, J., Cox, S. R., Davies, G., De Jager, P. L., … Räikkönen, K. (2022). Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry, 27(11), 4419–4431. https://doi.org/10.1038/s41380-022-01710-8
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Li, Z., Guo, W., Ding, S., Feng, K., Lu, L., Huang, T., & Cai, Y. (2022). Detecting Blood Methylation Signatures in Response to Childhood Cancer Radiotherapy via Machine Learning Methods. Biology, 11(4), 607. https://doi.org/10.3390/biology11040607
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