C. Yeh

DR-GEM enables self-supervised machine learning for single-cell embeddings and annotations

Dimensionality reduction and clustering are instrumental to single-cell and spatial genomics data analysis. Here we show that existing methods tend to fit oversampled classes and miss more unique signals and patterns, such as rare cell types and states. We find that the problem in such cases is not primarily data sca...