Publisher
Springer International Publishing
Reference36 articles.
1. Ando, D.M., McLean, C.Y., Berndl, M.: Improving phenotypic measurements in high-content imaging screens. bioRxiv (2017). https://doi.org/10.1101/161422, https://www.biorxiv.org/content/early/2017/07/10/161422
2. Bickle, M.: The beautiful cell: high-content screening in drug discovery. Anal. Bioanal. Chem. 398, 219–226 (2010). https://doi.org/10.1007/s00216-010-3788-3
3. Caicedo, J., McQuin, C., Goodman, A., Singh, S., Carpenter, A.: Weakly supervised learning of single-cell feature embeddings, vol. 2018, pp. 9309–9318 (2018). https://doi.org/10.1109/CVPR.2018.00970
4. Caron, M., Misra, I., Mairal, J., Goyal, P., Bojanowski, P., Joulin, A.: Unsupervised learning of visual features by contrasting cluster assignments. arXiv preprint arXiv:2006.09882 (2020)
5. Carpenter, A., et al.: CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol. 7, R100 (2006). https://doi.org/10.1186/gb-2006-7-10-r100
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献