A benchmark of 19 self-supervised learning methods on 9 single-cell datasets shows generic SSL methods outperform specialized frameworks on multi-modal integration and cell typing, while masking is the most effective augmentation.
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
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scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
A benchmark of 19 self-supervised learning methods on 9 single-cell datasets shows generic SSL methods outperform specialized frameworks on multi-modal integration and cell typing, while masking is the most effective augmentation.