NESS uses stability across random initializations of neighbor embeddings to improve and assess smooth single-cell representations.
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Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings
NESS uses stability across random initializations of neighbor embeddings to improve and assess smooth single-cell representations.