DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5689-6_33
Reference18 articles.
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2. Chen, J., Wang, W.H., Shi, X.: Differential privacy protection against membership inference attack on machine learning for genomic data. In: BIOCOMPUTING 2021: Proceedings of the Pacific Symposium, pp. 26–37. World Scientific (2020)
3. Chen, X., He, K.: Exploring simple Siamese representation learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 15750–15758 (2021)
4. Eraslan, G., Simon, L.M., Mircea, M., Mueller, N.S., Theis, F.J.: Single-cell RNA-seq denoising using a deep count autoencoder. Nat. Commun. 10(1), 390 (2019)
5. Flores, M., et al.: Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis. Brief. Bioinform. 23(1), bbab531 (2022)
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