Tag: batch effect correction

Researchers have developed meth-SemiCancer2, a deep learning framework that combines domain adaptation and contrastive learning to correct batch effects in ...

A new benchmarking framework called SpaBEAT defines four types of batch effects in spatial transcriptomics and shows that no correction ...

Researchers have developed scFormer, a heterogeneous graph transformer framework that identifies rare cell states in single-cell and spatial transcriptomic data ...